{
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   "cell_type": "markdown",
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   },
   "source": [
    "# ORB-facebook-comments-sentiment-analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "iraqi-vocabulary",
   "metadata": {
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    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "prerequisite-smell",
   "metadata": {
    "execution": {
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bayyeessa itti nu dabaala Mee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gaariidha halumaa kanaan itti fufaa</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Guddoo dansaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>osoo addaa hin cittiin yoo barreesitaan gaarii...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gaaridha itti fufaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0                      bayyeessa itti nu dabaala Mee      1\n",
       "1                Gaariidha halumaa kanaan itti fufaa      1\n",
       "2                                      Guddoo dansaa      1\n",
       "3  osoo addaa hin cittiin yoo barreesitaan gaarii...      1\n",
       "4                                Gaaridha itti fufaa      1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#load csv file\n",
    "Train = pd.read_csv(\"Posts_comment2.csv\",names=['text','label'])\n",
    "data=Train\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8a7ac055",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stopwords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>akka</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>akkam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Akkasumas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Akkuma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ammo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   stopwords\n",
       "0       akka\n",
       "1      akkam\n",
       "2  Akkasumas\n",
       "3     Akkuma\n",
       "4       Ammo"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aforstopwords = pd.read_csv(\"aforstopwords.txt\")\n",
    "aforstopwords.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "29a5f209",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jabaadha.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Odeeffannoo fi Hubannoo nuf uumeera Galaatoma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Odeeffannoo gaariidha!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Odeeffannoo gaariidha.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>B/gaariidha Itti Nuuf Fufaa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            text\n",
       "0                                      Jabaadha.\n",
       "1  Odeeffannoo fi Hubannoo nuf uumeera Galaatoma\n",
       "2                         Odeeffannoo gaariidha!\n",
       "3                         Odeeffannoo gaariidha.\n",
       "4                    B/gaariidha Itti Nuuf Fufaa"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data = pd.read_csv(\"Posts_comment_test.csv\",names=['text'])\n",
    "test_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7f699878",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "274"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "arbitrary-front",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    377\n",
       "0    272\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.label.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cubic-chile",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(649, 2)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "regulated-wisconsin",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:04.134525Z",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    377\n",
       "0    272\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "drawn-wagon",
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    "execution": {
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ENVY\\.conda\\envs\\tensorflow\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "ax=sns.countplot(data.label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "regulation-naples",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:05.366022Z",
     "iopub.status.busy": "2021-06-29T16:53:05.360777Z",
     "iopub.status.idle": "2021-06-29T16:53:05.385266Z",
     "shell.execute_reply": "2021-06-29T16:53:05.384717Z",
     "shell.execute_reply.started": "2021-06-29T15:57:07.639082Z"
    },
    "papermill": {
     "duration": 0.108781,
     "end_time": "2021-06-29T16:53:05.385427",
     "exception": false,
     "start_time": "2021-06-29T16:53:05.276646",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bayyeessa itti nu dabaala Mee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gaariidha halumaa kanaan itti fufaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Guddoo dansaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>osoo addaa hin cittiin yoo barreesitaan gaarii...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gaaridha itti fufaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0                      bayyeessa itti nu dabaala Mee      1\n",
       "1                Gaariidha halumaa kanaan itti fufaa      1\n",
       "2                                      Guddoo dansaa      1\n",
       "3  osoo addaa hin cittiin yoo barreesitaan gaarii...      1\n",
       "4                                Gaaridha itti fufaa      1"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# removing usernames from tweet\n",
    "\n",
    "data['text'] = data.text.str.replace('@user', '')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "industrial-palestine",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:05.654996Z",
     "iopub.status.busy": "2021-06-29T16:53:05.648080Z",
     "iopub.status.idle": "2021-06-29T16:53:05.982089Z",
     "shell.execute_reply": "2021-06-29T16:53:05.981557Z",
     "shell.execute_reply.started": "2021-06-29T15:57:07.718486Z"
    },
    "papermill": {
     "duration": 0.39935,
     "end_time": "2021-06-29T16:53:05.982223",
     "exception": false,
     "start_time": "2021-06-29T16:53:05.582873",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ENVY\\.conda\\envs\\tensorflow\\lib\\site-packages\\ipykernel_launcher.py:6: FutureWarning: The default value of regex will change from True to False in a future version.\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bayyeessa itti nu dabaala Mee</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gaariidha halumaa kanaan itti fufaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Guddoo dansaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>osoo addaa hin cittiin yoo barreesitaan gaarii...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gaaridha itti fufaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0                      bayyeessa itti nu dabaala Mee      1\n",
       "1                Gaariidha halumaa kanaan itti fufaa      1\n",
       "2                                      Guddoo dansaa      1\n",
       "3  osoo addaa hin cittiin yoo barreesitaan gaarii...      1\n",
       "4                                Gaaridha itti fufaa      1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Removing Punctuations, Numbers, and Special Characters\n",
    "#[a-zA-Z] = Any single character in the range a-z or A-Z\n",
    "# ^ = Start of line \n",
    "# $ = End of line \n",
    "\n",
    "data['text'] = data['text'].str.replace(\"[^a-zA-Z#]\", \" \")\n",
    "data['text'] = data['text'].str.replace(\"#\", \"\")\n",
    "data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "neutral-bargain",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:06.122857Z",
     "iopub.status.busy": "2021-06-29T16:53:06.107267Z",
     "iopub.status.idle": "2021-06-29T16:53:06.301142Z",
     "shell.execute_reply": "2021-06-29T16:53:06.301953Z",
     "shell.execute_reply.started": "2021-06-29T15:57:08.084397Z"
    },
    "papermill": {
     "duration": 0.261657,
     "end_time": "2021-06-29T16:53:06.302153",
     "exception": false,
     "start_time": "2021-06-29T16:53:06.040496",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ENVY\\.conda\\envs\\tensorflow\\lib\\site-packages\\ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
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       "<style scoped>\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jabaadha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Odeeffannoo fi Hubannoo nuf uumeera Galaatoma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Odeeffannoo gaariidha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Odeeffannoo gaariidha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>B gaariidha Itti Nuuf Fufaa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            text\n",
       "0                                      Jabaadha \n",
       "1  Odeeffannoo fi Hubannoo nuf uumeera Galaatoma\n",
       "2                         Odeeffannoo gaariidha \n",
       "3                         Odeeffannoo gaariidha \n",
       "4                    B gaariidha Itti Nuuf Fufaa"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data['text'] = test_data['text'].str.replace(\"[^a-zA-Z#]\", \" \")\n",
    "test_data['text'] = test_data['text'].str.replace(\"#\", \"\")\n",
    "test_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "expected-freeze",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:06.443572Z",
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     "shell.execute_reply.started": "2021-06-29T15:57:08.288388Z"
    },
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     "exception": false,
     "start_time": "2021-06-29T16:53:06.362866",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('hin', 88),\n",
       " ('gaariidha', 69),\n",
       " ('itti', 59),\n",
       " ('kun', 58),\n",
       " ('ta', 53),\n",
       " ('waan', 52),\n",
       " ('fi', 52),\n",
       " ('ee', 50),\n",
       " ('kan', 41),\n",
       " ('dha', 40)]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get most common words in training dataset\n",
    "from collections import Counter \n",
    "all_words = []\n",
    "for line in list(data['text']):\n",
    "    words = line.split()\n",
    "    for word in words:\n",
    "        all_words.append(word.lower())\n",
    "    \n",
    "    \n",
    "a=Counter(all_words).most_common(10)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "contained-round",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[bayyeessa, itti, nu, dabaala, Mee]</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[Guddoo, dansaa]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[osoo, addaa, hin, cittiin, yoo, barreesitaan,...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[Gaaridha, itti, fufaa]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0                [bayyeessa, itti, nu, dabaala, Mee]      1\n",
       "1          [Gaariidha, halumaa, kanaan, itti, fufaa]      1\n",
       "2                                   [Guddoo, dansaa]      1\n",
       "3  [osoo, addaa, hin, cittiin, yoo, barreesitaan,...      1\n",
       "4                            [Gaaridha, itti, fufaa]      1"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#tokenization\n",
    "data['text'] = data['text'].apply(lambda x: x.split())\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "desperate-worship",
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   "outputs": [
    {
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       "    </tr>\n",
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       "      <th>0</th>\n",
       "      <td>[Jabaadha]</td>\n",
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       "      <td>[Odeeffannoo, fi, Hubannoo, nuf, uumeera, Gala...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[Odeeffannoo, gaariidha]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[Odeeffannoo, gaariidha]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[B, gaariidha, Itti, Nuuf, Fufaa]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text\n",
       "0                                         [Jabaadha]\n",
       "1  [Odeeffannoo, fi, Hubannoo, nuf, uumeera, Gala...\n",
       "2                           [Odeeffannoo, gaariidha]\n",
       "3                           [Odeeffannoo, gaariidha]\n",
       "4                  [B, gaariidha, Itti, Nuuf, Fufaa]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
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   ],
   "source": [
    "test_data['text'] = test_data['text'].apply(lambda x: x.split())\n",
    "test_data.head()"
   ]
  },
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   "cell_type": "code",
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   "id": "broken-original",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[bayyeessa, itti, nu, dabaala, mee]</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[gaariidha, halumaa, kanaan, itti, fufaa]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[guddoo, dansaa]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[osoo, addaa, hin, cittiin, yoo, barreesitaan,...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[gaaridha, itti, fufaa]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>[waan, salphaa, fakkaata, garuu, hojii, guddaa...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>[ka, umsa, bareedaadha, itti, fufaa]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>[bayyeessa]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>[hojii, sirrii, hojjechuuf, jalqabii, gaarii]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>[baayye, gaaridha]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0                [bayyeessa, itti, nu, dabaala, mee]      1\n",
       "1          [gaariidha, halumaa, kanaan, itti, fufaa]      1\n",
       "2                                   [guddoo, dansaa]      1\n",
       "3  [osoo, addaa, hin, cittiin, yoo, barreesitaan,...      1\n",
       "4                            [gaaridha, itti, fufaa]      1\n",
       "5  [waan, salphaa, fakkaata, garuu, hojii, guddaa...      1\n",
       "6               [ka, umsa, bareedaadha, itti, fufaa]      1\n",
       "7                                        [bayyeessa]      1\n",
       "8      [hojii, sirrii, hojjechuuf, jalqabii, gaarii]      1\n",
       "9                                 [baayye, gaaridha]      1"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#stemmer\n",
    "from nltk.stem import PorterStemmer\n",
    "stemmer = PorterStemmer()\n",
    "\n",
    "data['text']= data['text'].apply(lambda x: [stemmer.stem(i) for i in x])\n",
    "data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "affiliated-therapist",
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    },
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   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[jabaadha]</td>\n",
       "    </tr>\n",
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       "      <th>1</th>\n",
       "      <td>[odeeffannoo, fi, hubannoo, nuf, uumeera, gala...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[odeeffannoo, gaariidha]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[odeeffannoo, gaariidha]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[b, gaariidha, itti, nuuf, fufaa]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text\n",
       "0                                         [jabaadha]\n",
       "1  [odeeffannoo, fi, hubannoo, nuf, uumeera, gala...\n",
       "2                           [odeeffannoo, gaariidha]\n",
       "3                           [odeeffannoo, gaariidha]\n",
       "4                  [b, gaariidha, itti, nuuf, fufaa]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data['text']= test_data['text'].apply(lambda x: [stemmer.stem(i) for i in x])\n",
    "test_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "crude-capture",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:23.382559Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "expressed-practitioner",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import string \n",
    "\n",
    "def process(text):\n",
    "    # Check characters to see if they are in punctuation\n",
    "    nopunc = set(char for char in list(text) if char not in string.punctuation)\n",
    "    # Join the characters to form the string.\n",
    "    nopunc = \" \".join(nopunc)\n",
    "    # remove any stopwords if present\n",
    "    return [word for word in nopunc.lower().split() if word.lower() not in aforstopwords]\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "potential-passing",
   "metadata": {
    "execution": {
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    },
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    },
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   },
   "outputs": [
    {
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       "    }\n",
       "\n",
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       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>[bayyeessa, mee, itti, nu, dabaala]</td>\n",
       "      <td>1</td>\n",
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       "      <td>[kanaan, halumaa, fufaa, itti, gaariidha]</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[guddoo, dansaa]</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[osoo, addaa, yoo, barreesitaan, cittiin, gaar...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[itti, gaaridha, fufaa]</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0                [bayyeessa, mee, itti, nu, dabaala]      1\n",
       "1          [kanaan, halumaa, fufaa, itti, gaariidha]      1\n",
       "2                                   [guddoo, dansaa]      1\n",
       "3  [osoo, addaa, yoo, barreesitaan, cittiin, gaar...      1\n",
       "4                            [itti, gaaridha, fufaa]      1"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['text'] = data['text'].apply(process) \n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "60712a36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[jabaadha]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[nuf, hubannoo, fi, uumeera, odeeffannoo, gala...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[odeeffannoo, gaariidha]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[odeeffannoo, gaariidha]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[fufaa, itti, gaariidha, b, nuuf]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text\n",
       "0                                         [jabaadha]\n",
       "1  [nuf, hubannoo, fi, uumeera, odeeffannoo, gala...\n",
       "2                           [odeeffannoo, gaariidha]\n",
       "3                           [odeeffannoo, gaariidha]\n",
       "4                  [fufaa, itti, gaariidha, b, nuuf]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# test_data\n",
    "test_data['text'] = test_data['text'].apply(process) \n",
    "test_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fff7c532",
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "stock-pledge",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:25.504172Z",
     "iopub.status.busy": "2021-06-29T16:53:25.503451Z",
     "iopub.status.idle": "2021-06-29T16:53:26.198946Z",
     "shell.execute_reply": "2021-06-29T16:53:26.199444Z",
     "shell.execute_reply.started": "2021-06-29T15:57:26.374295Z"
    },
    "papermill": {
     "duration": 0.764786,
     "end_time": "2021-06-29T16:53:26.199648",
     "exception": false,
     "start_time": "2021-06-29T16:53:25.434862",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# split sentences to get individual words\n",
    "words = []\n",
    "for line in data['text']: \n",
    "    words.extend(line)\n",
    "    \n",
    "# create a word frequency dictionary\n",
    "wordfreq = Counter(words)\n",
    "# draw a Word Cloud with word frequencies\n",
    "wordcloud = WordCloud(\n",
    "    background_color='white',\n",
    "    max_words=2000,\n",
    "    stopwords=aforstopwords\n",
    "   ).generate_from_frequencies(wordfreq)\n",
    "plt.figure(figsize=(10,9))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "particular-shooting",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:26.346822Z",
     "iopub.status.busy": "2021-06-29T16:53:26.341634Z",
     "iopub.status.idle": "2021-06-29T16:53:26.454604Z",
     "shell.execute_reply": "2021-06-29T16:53:26.454005Z",
     "shell.execute_reply.started": "2021-06-29T15:57:27.189511Z"
    },
    "papermill": {
     "duration": 0.187077,
     "end_time": "2021-06-29T16:53:26.454752",
     "exception": false,
     "start_time": "2021-06-29T16:53:26.267675",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bayyeessa mee itti nu dabaala</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>kanaan halumaa fufaa itti gaariidha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>guddoo dansaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>osoo addaa yoo barreesitaan cittiin gaariidha hin</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>itti gaaridha fufaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                text  label\n",
       "0                      bayyeessa mee itti nu dabaala      1\n",
       "1                kanaan halumaa fufaa itti gaariidha      1\n",
       "2                                      guddoo dansaa      1\n",
       "3  osoo addaa yoo barreesitaan cittiin gaariidha hin      1\n",
       "4                                itti gaaridha fufaa      1"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def string (text):\n",
    "    to_return=\"\"\n",
    "    for i in list(text):\n",
    "        to_return += str(i) + \" \"\n",
    "    to_return = to_return[:-1]\n",
    "    \n",
    "    return to_return\n",
    "    \n",
    "       \n",
    "data['text'] = data['text'].apply(string)\n",
    "data.head()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "broadband-equipment",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:26.603747Z",
     "iopub.status.busy": "2021-06-29T16:53:26.598082Z",
     "iopub.status.idle": "2021-06-29T16:53:26.670764Z",
     "shell.execute_reply": "2021-06-29T16:53:26.670192Z",
     "shell.execute_reply.started": "2021-06-29T15:57:27.310447Z"
    },
    "papermill": {
     "duration": 0.146431,
     "end_time": "2021-06-29T16:53:26.670914",
     "exception": false,
     "start_time": "2021-06-29T16:53:26.524483",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>jabaadha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>nuf hubannoo fi uumeera odeeffannoo galaatoma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>fufaa itti gaariidha b nuuf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            text\n",
       "0                                       jabaadha\n",
       "1  nuf hubannoo fi uumeera odeeffannoo galaatoma\n",
       "2                          odeeffannoo gaariidha\n",
       "3                          odeeffannoo gaariidha\n",
       "4                    fufaa itti gaariidha b nuuf"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data['text'] = test_data['text'].apply(string)\n",
    "test_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "attractive-shuttle",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:26.819220Z",
     "iopub.status.busy": "2021-06-29T16:53:26.818403Z",
     "iopub.status.idle": "2021-06-29T16:53:29.871319Z",
     "shell.execute_reply": "2021-06-29T16:53:29.871821Z",
     "shell.execute_reply.started": "2021-06-29T15:57:27.383511Z"
    },
    "papermill": {
     "duration": 3.13156,
     "end_time": "2021-06-29T16:53:29.872000",
     "exception": false,
     "start_time": "2021-06-29T16:53:26.740440",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "positive = [r for r in data['text'][data['label']==1]]\n",
    "pos = ''.join(positive)\n",
    "\n",
    "# draw a Word Cloud with word frequencies\n",
    "wordcloud = WordCloud(\n",
    "    background_color='white',\n",
    "    max_words=2000,\n",
    "    stopwords=aforstopwords\n",
    "   ).generate(pos)\n",
    "plt.figure(figsize=(10,9))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "superb-success",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:30.042285Z",
     "iopub.status.busy": "2021-06-29T16:53:30.029368Z",
     "iopub.status.idle": "2021-06-29T16:53:30.709513Z",
     "shell.execute_reply": "2021-06-29T16:53:30.709996Z",
     "shell.execute_reply.started": "2021-06-29T15:57:30.296188Z"
    },
    "papermill": {
     "duration": 0.762304,
     "end_time": "2021-06-29T16:53:30.710163",
     "exception": false,
     "start_time": "2021-06-29T16:53:29.947859",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "negative = [r for r in data['text'][data['label']==0]]\n",
    "neg = ''.join(negative)\n",
    "\n",
    "# draw a Word Cloud with word frequencies\n",
    "wordcloud = WordCloud(\n",
    "    background_color='black',\n",
    "    max_words=2000,\n",
    "    stopwords=aforstopwords\n",
    "   ).generate(neg)\n",
    "plt.figure(figsize=(10,9))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "secure-madonna",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:31.558465Z",
     "iopub.status.busy": "2021-06-29T16:53:31.557769Z",
     "iopub.status.idle": "2021-06-29T16:53:31.566973Z",
     "shell.execute_reply": "2021-06-29T16:53:31.566436Z",
     "shell.execute_reply.started": "2021-06-29T15:57:30.961303Z"
    },
    "papermill": {
     "duration": 0.097277,
     "end_time": "2021-06-29T16:53:31.567108",
     "exception": false,
     "start_time": "2021-06-29T16:53:31.469831",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training set : (519,) (519,)\n",
      "testing set : (130,) (130,)\n"
     ]
    }
   ],
   "source": [
    "#Split data into training and testing sets \n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(data[\"text\"], \n",
    "                                                    data[\"label\"], test_size = 0.2, random_state = 42)\n",
    "\n",
    "print(\"training set :\",x_train.shape,y_train.shape)\n",
    "print(\"testing set :\",x_test.shape,y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "endangered-bronze",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:31.732303Z",
     "iopub.status.busy": "2021-06-29T16:53:31.731303Z",
     "iopub.status.idle": "2021-06-29T16:53:31.736198Z",
     "shell.execute_reply": "2021-06-29T16:53:31.736835Z",
     "shell.execute_reply.started": "2021-06-29T15:57:30.977797Z"
    },
    "papermill": {
     "duration": 0.089263,
     "end_time": "2021-06-29T16:53:31.737008",
     "exception": false,
     "start_time": "2021-06-29T16:53:31.647745",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\n",
    "count_vect = CountVectorizer(stop_words='english')\n",
    "transformer = TfidfTransformer(norm='l2',sublinear_tf=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "dangerous-content",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:31.906740Z",
     "iopub.status.busy": "2021-06-29T16:53:31.905715Z",
     "iopub.status.idle": "2021-06-29T16:53:31.913367Z",
     "shell.execute_reply": "2021-06-29T16:53:31.913878Z",
     "shell.execute_reply.started": "2021-06-29T15:57:30.985904Z"
    },
    "papermill": {
     "duration": 0.095695,
     "end_time": "2021-06-29T16:53:31.914067",
     "exception": false,
     "start_time": "2021-06-29T16:53:31.818372",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                               jabaadha\n",
       "1          nuf hubannoo fi uumeera odeeffannoo galaatoma\n",
       "2                                  odeeffannoo gaariidha\n",
       "3                                  odeeffannoo gaariidha\n",
       "4                            fufaa itti gaariidha b nuuf\n",
       "                             ...                        \n",
       "269               keessan yaada tti gaaridha yaanni akka\n",
       "270                          labbsiin bbbbb kun garidhaa\n",
       "271    qabaa ta ee daldaltotaa hubanaa maamiltoota ke...\n",
       "272    waan haara jiru ummataaf akkanuma ibsaa galato...\n",
       "273    yaadame gaarii fi hojjattota ee raawwataniif m...\n",
       "Name: text, Length: 274, dtype: object"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_x = test_data['text']\n",
    "test_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "amazing-practice",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:32.082580Z",
     "iopub.status.busy": "2021-06-29T16:53:32.081561Z",
     "iopub.status.idle": "2021-06-29T16:53:32.565924Z",
     "shell.execute_reply": "2021-06-29T16:53:32.565326Z",
     "shell.execute_reply.started": "2021-06-29T15:57:31.002308Z"
    },
    "papermill": {
     "duration": 0.569089,
     "end_time": "2021-06-29T16:53:32.566063",
     "exception": false,
     "start_time": "2021-06-29T16:53:31.996974",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(519, 1355)\n",
      "(519, 1355)\n"
     ]
    }
   ],
   "source": [
    "x_train_counts = count_vect.fit_transform(x_train)\n",
    "x_train_tfidf = transformer.fit_transform(x_train_counts)\n",
    "\n",
    "print(x_train_counts.shape)\n",
    "print(x_train_tfidf.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "392dddd5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "332                                           galaatooma\n",
       "29                       nuti faana isin jirra jabaadhaa\n",
       "302                                maalif nu sobduuuuuuu\n",
       "286    haalii wantii akkumaa qabanii sirresuu jirutii...\n",
       "554                                  jabaadhaa dansa dha\n",
       "Name: text, dtype: object"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "underlying-expression",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:32.749028Z",
     "iopub.status.busy": "2021-06-29T16:53:32.743435Z",
     "iopub.status.idle": "2021-06-29T16:53:32.989306Z",
     "shell.execute_reply": "2021-06-29T16:53:32.990106Z",
     "shell.execute_reply.started": "2021-06-29T15:57:31.489446Z"
    },
    "papermill": {
     "duration": 0.343268,
     "end_time": "2021-06-29T16:53:32.990360",
     "exception": false,
     "start_time": "2021-06-29T16:53:32.647092",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(274, 1355)\n",
      "(274, 1355)\n"
     ]
    }
   ],
   "source": [
    "test_x_counts = count_vect.transform(test_x)\n",
    "test_x_tfidf = transformer.transform(test_x_counts)\n",
    "\n",
    "print(test_x_counts.shape)\n",
    "print(test_x_tfidf.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e72ccf95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<274x1355 sparse matrix of type '<class 'numpy.int64'>'\n",
       "\twith 2117 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_x_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "formal-initial",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:33.197564Z",
     "iopub.status.busy": "2021-06-29T16:53:33.192360Z",
     "iopub.status.idle": "2021-06-29T16:53:33.269874Z",
     "shell.execute_reply": "2021-06-29T16:53:33.269313Z",
     "shell.execute_reply.started": "2021-06-29T15:57:31.745195Z"
    },
    "papermill": {
     "duration": 0.190021,
     "end_time": "2021-06-29T16:53:33.270071",
     "exception": false,
     "start_time": "2021-06-29T16:53:33.080050",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(130, 1355)\n",
      "(130, 1355)\n"
     ]
    }
   ],
   "source": [
    "x_test_counts = count_vect.transform(x_test)\n",
    "x_test_tfidf = transformer.transform(x_test_counts)\n",
    "\n",
    "print(x_test_counts.shape)\n",
    "print(x_test_tfidf.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "billion-charter",
   "metadata": {
    "papermill": {
     "duration": 0.08218,
     "end_time": "2021-06-29T16:53:33.436323",
     "exception": false,
     "start_time": "2021-06-29T16:53:33.354143",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#Model building"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "lasting-scroll",
   "metadata": {
    "papermill": {
     "duration": 0.081593,
     "end_time": "2021-06-29T16:53:33.600539",
     "exception": false,
     "start_time": "2021-06-29T16:53:33.518946",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ranking-rebecca",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:53:33.769322Z",
     "iopub.status.busy": "2021-06-29T16:53:33.768539Z",
     "iopub.status.idle": "2021-06-29T16:54:10.766857Z",
     "shell.execute_reply": "2021-06-29T16:54:10.767367Z",
     "shell.execute_reply.started": "2021-06-29T15:57:31.851674Z"
    },
    "papermill": {
     "duration": 37.085163,
     "end_time": "2021-06-29T16:54:10.767564",
     "exception": false,
     "start_time": "2021-06-29T16:53:33.682401",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(n_estimators=200)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "model = RandomForestClassifier(n_estimators=200)\n",
    "model.fit(x_train_tfidf,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "adjustable-circuit",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:10.940586Z",
     "iopub.status.busy": "2021-06-29T16:54:10.939502Z",
     "iopub.status.idle": "2021-06-29T16:54:13.468042Z",
     "shell.execute_reply": "2021-06-29T16:54:13.467479Z",
     "shell.execute_reply.started": "2021-06-29T15:58:08.176032Z"
    },
    "papermill": {
     "duration": 2.617942,
     "end_time": "2021-06-29T16:54:13.468207",
     "exception": false,
     "start_time": "2021-06-29T16:54:10.850265",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "predictions = model.predict(x_test_tfidf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "numerous-complexity",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:13.638877Z",
     "iopub.status.busy": "2021-06-29T16:54:13.637777Z",
     "iopub.status.idle": "2021-06-29T16:54:20.293424Z",
     "shell.execute_reply": "2021-06-29T16:54:20.292736Z",
     "shell.execute_reply.started": "2021-06-29T15:58:10.669906Z"
    },
    "papermill": {
     "duration": 6.742598,
     "end_time": "2021-06-29T16:54:20.293575",
     "exception": false,
     "start_time": "2021-06-29T16:54:13.550977",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "submission  = model.predict(test_x_tfidf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "biological-staff",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:20.464769Z",
     "iopub.status.busy": "2021-06-29T16:54:20.463804Z",
     "iopub.status.idle": "2021-06-29T16:54:20.469785Z",
     "shell.execute_reply": "2021-06-29T16:54:20.469163Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.291331Z"
    },
    "papermill": {
     "duration": 0.09297,
     "end_time": "2021-06-29T16:54:20.469922",
     "exception": false,
     "start_time": "2021-06-29T16:54:20.376952",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Accuracy_score\n",
    "from sklearn.metrics import accuracy_score\n",
    "rfac=accuracy_score(y_test,predictions)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "02f7a48c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "80.0"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfac"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "15aff6e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def rfpredict_sentiment(text):\n",
    "    fbcom = tokenizer.texts_to_sequences([text])\n",
    "    fbcom = pad_sequences(fbcom,maxlen=1355)\n",
    "    prediction = int(model.predict(fbcom).round().item())\n",
    "    #return prediction\n",
    "    if prediction==1:\n",
    "        return \"Predicted label: Posetive\"\n",
    "    else:\n",
    "        return \"Predicted label: Negative\"\n",
    "    #print(\"Predicted label: \",[prediction])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "76bd941f",
   "metadata": {},
   "outputs": [],
   "source": [
    "outputs = gr.outputs.Textbox()\n",
    "app = gr.Interface(fn=rfpredict_sentiment, \n",
    "                   inputs='text', \n",
    "                   outputs=gradio.outputs.Textbox(),\n",
    "                   description=\"This is sentment anlysis of ORB customer comments\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "ea94acc7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7876/\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"900\"\n",
       "            height=\"500\"\n",
       "            src=\"http://127.0.0.1:7876/\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x2290cdbb548>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<fastapi.applications.FastAPI at 0x22904240648>,\n",
       " 'http://127.0.0.1:7876/',\n",
       " None)"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "app.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "neither-webcam",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:20.641283Z",
     "iopub.status.busy": "2021-06-29T16:54:20.640281Z",
     "iopub.status.idle": "2021-06-29T16:54:20.655825Z",
     "shell.execute_reply": "2021-06-29T16:54:20.655137Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.301016Z"
    },
    "papermill": {
     "duration": 0.103251,
     "end_time": "2021-06-29T16:54:20.655966",
     "exception": false,
     "start_time": "2021-06-29T16:54:20.552715",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[36, 16],\n",
       "       [10, 68]], dtype=int64)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix,f1_score\n",
    "confusion_matrix(y_test,predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "split-ecuador",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:20.826403Z",
     "iopub.status.busy": "2021-06-29T16:54:20.825813Z",
     "iopub.status.idle": "2021-06-29T16:54:20.834138Z",
     "shell.execute_reply": "2021-06-29T16:54:20.834951Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.326564Z"
    },
    "papermill": {
     "duration": 0.096182,
     "end_time": "2021-06-29T16:54:20.835196",
     "exception": false,
     "start_time": "2021-06-29T16:54:20.739014",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8395061728395062"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#f1-score\n",
    "f1_score(y_test,predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "descending-roman",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:21.055616Z",
     "iopub.status.busy": "2021-06-29T16:54:21.054643Z",
     "iopub.status.idle": "2021-06-29T16:54:21.058988Z",
     "shell.execute_reply": "2021-06-29T16:54:21.058367Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.337941Z"
    },
    "papermill": {
     "duration": 0.118749,
     "end_time": "2021-06-29T16:54:21.059124",
     "exception": false,
     "start_time": "2021-06-29T16:54:20.940375",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31mThis is a test in RED\u001b[0m\n",
      "\u001b[34mThis is a test in BLUE\u001b[0m\n",
      "\u001b[1m\u001b[32mThis is a bold text in green\u001b[0m\n",
      "\u001b[1m\u001b[42mThis is a text with green background\u001b[0m\n",
      "\u001b[32mThis is a green text with \u001b[1mbold\u001b[0m\u001b[32m text included\u001b[0m\n",
      "\u001b[1mUse this\u001b[0m even with \u001b[1m\u001b[31mno parameters\u001b[0m in the with statement\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "\n",
    "\n",
    "# Special END separator\n",
    "END = '0e8ed89a-47ba-4cdb-938e-b8af8e084d5c'\n",
    "\n",
    "# Text attributes\n",
    "ALL_OFF = '\\033[0m'\n",
    "BOLD = '\\033[1m'\n",
    "UNDERSCORE = '\\033[4m'\n",
    "BLINK = '\\033[5m'\n",
    "REVERSE = '\\033[7m'\n",
    "CONCEALED = '\\033[7m'\n",
    "\n",
    "# Foreground colors\n",
    "FG_BLACK = '\\033[30m'\n",
    "FG_RED = '\\033[31m'\n",
    "FG_GREEN = '\\033[32m'\n",
    "FG_YELLOW = '\\033[33m'\n",
    "FG_BLUE = '\\033[34m'\n",
    "FG_MAGENTA = '\\033[35m'\n",
    "FG_CYAN = '\\033[36m'\n",
    "FG_WHITE = '\\033[37m'\n",
    "\n",
    "# Background colors\n",
    "BG_BLACK = '\\033[40m'\n",
    "BG_RED = '\\033[41m'\n",
    "BG_GREEN = '\\033[42m'\n",
    "BG_YELLOW = '\\033[43m'\n",
    "BG_BLUE = '\\033[44m'\n",
    "BG_MAGENTA = '\\033[45m'\n",
    "BG_CYAN = '\\033[46m'\n",
    "BG_WHITE = '\\033[47m'\n",
    "\n",
    "\n",
    "class pretty_output():\n",
    "    '''\n",
    "    Context manager for pretty terminal prints\n",
    "    '''\n",
    "\n",
    "    def __init__(self, *attr):\n",
    "        self.attributes = attr\n",
    "\n",
    "    def __enter__(self):\n",
    "        return self\n",
    "\n",
    "    def __exit__(self, type, value, traceback):\n",
    "        pass\n",
    "\n",
    "    def write(self, msg):\n",
    "        style = ''.join(self.attributes)\n",
    "        print('{}{}{}'.format(style, msg.replace(END, ALL_OFF + style), ALL_OFF))\n",
    "\n",
    "\n",
    "if __name__ == '__main__':\n",
    "\n",
    "    with pretty_output(FG_RED) as out:\n",
    "        out.write('This is a test in RED')\n",
    "\n",
    "    with pretty_output(FG_BLUE) as out:\n",
    "        out.write('This is a test in BLUE')\n",
    "\n",
    "    with pretty_output(BOLD, FG_GREEN) as out:\n",
    "        out.write('This is a bold text in green')\n",
    "\n",
    "    with pretty_output(BOLD, BG_GREEN) as out:\n",
    "        out.write('This is a text with green background')\n",
    "\n",
    "    with pretty_output(FG_GREEN) as out:\n",
    "        out.write('This is a green text with ' + BOLD + 'bold' + END + ' text included')\n",
    "\n",
    "    with pretty_output() as out:\n",
    "        out.write(BOLD + 'Use this' + END + ' even with ' + BOLD + FG_RED + 'no parameters' + END + ' in the with statement')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "motivated-boutique",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:21.249207Z",
     "iopub.status.busy": "2021-06-29T16:54:21.245446Z",
     "iopub.status.idle": "2021-06-29T16:54:21.314864Z",
     "shell.execute_reply": "2021-06-29T16:54:21.314190Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.352991Z"
    },
    "papermill": {
     "duration": 0.160756,
     "end_time": "2021-06-29T16:54:21.315006",
     "exception": false,
     "start_time": "2021-06-29T16:54:21.154250",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m\u001b[32m                 RANDOM FOREST                 \u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_35090_row0_col0, #T_35090_row0_col1, #T_35090_row0_col2 {\n",
       "  background-color: #440154;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_35090_row1_col0, #T_35090_row1_col1, #T_35090_row1_col2 {\n",
       "  background-color: #fde725;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_35090_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >precision</th>\n",
       "      <th class=\"col_heading level0 col1\" >recall</th>\n",
       "      <th class=\"col_heading level0 col2\" >f1-score</th>\n",
       "      <th class=\"col_heading level0 col3\" >support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_35090_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_35090_row0_col0\" class=\"data row0 col0\" >0.692308</td>\n",
       "      <td id=\"T_35090_row0_col1\" class=\"data row0 col1\" >0.782609</td>\n",
       "      <td id=\"T_35090_row0_col2\" class=\"data row0 col2\" >0.734694</td>\n",
       "      <td id=\"T_35090_row0_col3\" class=\"data row0 col3\" >46.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35090_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_35090_row1_col0\" class=\"data row1 col0\" >0.871795</td>\n",
       "      <td id=\"T_35090_row1_col1\" class=\"data row1 col1\" >0.809524</td>\n",
       "      <td id=\"T_35090_row1_col2\" class=\"data row1 col2\" >0.839506</td>\n",
       "      <td id=\"T_35090_row1_col3\" class=\"data row1 col3\" >84.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35090_level0_row2\" class=\"row_heading level0 row2\" >accuracy</th>\n",
       "      <td id=\"T_35090_row2_col0\" class=\"data row2 col0\" >0.800000</td>\n",
       "      <td id=\"T_35090_row2_col1\" class=\"data row2 col1\" >0.800000</td>\n",
       "      <td id=\"T_35090_row2_col2\" class=\"data row2 col2\" >0.800000</td>\n",
       "      <td id=\"T_35090_row2_col3\" class=\"data row2 col3\" >0.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35090_level0_row3\" class=\"row_heading level0 row3\" >macro avg</th>\n",
       "      <td id=\"T_35090_row3_col0\" class=\"data row3 col0\" >0.782051</td>\n",
       "      <td id=\"T_35090_row3_col1\" class=\"data row3 col1\" >0.796066</td>\n",
       "      <td id=\"T_35090_row3_col2\" class=\"data row3 col2\" >0.787100</td>\n",
       "      <td id=\"T_35090_row3_col3\" class=\"data row3 col3\" >130.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35090_level0_row4\" class=\"row_heading level0 row4\" >weighted avg</th>\n",
       "      <td id=\"T_35090_row4_col0\" class=\"data row4 col0\" >0.808284</td>\n",
       "      <td id=\"T_35090_row4_col1\" class=\"data row4 col1\" >0.800000</td>\n",
       "      <td id=\"T_35090_row4_col2\" class=\"data row4 col2\" >0.802419</td>\n",
       "      <td id=\"T_35090_row4_col3\" class=\"data row4 col3\" >130.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x22901f4f188>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "df = pd.DataFrame(classification_report(predictions, \n",
    "                                        y_test, digits=2,\n",
    "                                        output_dict=True)).T\n",
    "\n",
    "with pretty_output(BOLD, FG_GREEN) as out:\n",
    "    out.write('                 RANDOM FOREST                 ')\n",
    "df.style.background_gradient(cmap='viridis',\n",
    "                             subset=pd.IndexSlice['0':'1', :'f1-score'],)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "settled-abraham",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:21.497127Z",
     "iopub.status.busy": "2021-06-29T16:54:21.496445Z",
     "iopub.status.idle": "2021-06-29T16:54:21.500162Z",
     "shell.execute_reply": "2021-06-29T16:54:21.499658Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.424503Z"
    },
    "papermill": {
     "duration": 0.09694,
     "end_time": "2021-06-29T16:54:21.500309",
     "exception": false,
     "start_time": "2021-06-29T16:54:21.403369",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def color_negative_red(val):\n",
    "    \"\"\"\n",
    "    Takes a scalar and returns a string with\n",
    "    the css property `'color: red'` for negative\n",
    "    strings, black otherwise.\n",
    "    \"\"\"\n",
    "    color = 'red' if val == 'NEG' else 'green'\n",
    "    return 'color: %s' % color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "instructional-music",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:21.687139Z",
     "iopub.status.busy": "2021-06-29T16:54:21.686462Z",
     "iopub.status.idle": "2021-06-29T16:54:21.703972Z",
     "shell.execute_reply": "2021-06-29T16:54:21.704577Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.429677Z"
    },
    "papermill": {
     "duration": 0.12001,
     "end_time": "2021-06-29T16:54:21.704753",
     "exception": false,
     "start_time": "2021-06-29T16:54:21.584743",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m\u001b[32m                 RANDOM FOREST Comments Prediction                \u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_03bf6_row0_col1, #T_03bf6_row0_col2, #T_03bf6_row1_col1, #T_03bf6_row1_col2, #T_03bf6_row2_col1, #T_03bf6_row2_col2, #T_03bf6_row3_col1, #T_03bf6_row3_col2, #T_03bf6_row5_col1, #T_03bf6_row5_col2, #T_03bf6_row7_col1, #T_03bf6_row7_col2, #T_03bf6_row9_col1, #T_03bf6_row9_col2 {\n",
       "  color: green;\n",
       "}\n",
       "#T_03bf6_row4_col1, #T_03bf6_row4_col2, #T_03bf6_row6_col1, #T_03bf6_row6_col2, #T_03bf6_row8_col1, #T_03bf6_row8_col2 {\n",
       "  color: red;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_03bf6_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >Comments</th>\n",
       "      <th class=\"col_heading level0 col1\" >Prediction</th>\n",
       "      <th class=\"col_heading level0 col2\" >Label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row0\" class=\"row_heading level0 row0\" >361</th>\n",
       "      <td id=\"T_03bf6_row0_col0\" class=\"data row0 col0\" >gallatoomaa</td>\n",
       "      <td id=\"T_03bf6_row0_col1\" class=\"data row0 col1\" >POS</td>\n",
       "      <td id=\"T_03bf6_row0_col2\" class=\"data row0 col2\" >POS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row1\" class=\"row_heading level0 row1\" >133</th>\n",
       "      <td id=\"T_03bf6_row1_col0\" class=\"data row1 col0\" >baay gaarii ee dha</td>\n",
       "      <td id=\"T_03bf6_row1_col1\" class=\"data row1 col1\" >POS</td>\n",
       "      <td id=\"T_03bf6_row1_col2\" class=\"data row1 col2\" >POS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row2\" class=\"row_heading level0 row2\" >209</th>\n",
       "      <td id=\"T_03bf6_row2_col0\" class=\"data row2 col0\" >waan namaaf taa u gaariidhaa hojjechuun</td>\n",
       "      <td id=\"T_03bf6_row2_col1\" class=\"data row2 col1\" >POS</td>\n",
       "      <td id=\"T_03bf6_row2_col2\" class=\"data row2 col2\" >POS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row3\" class=\"row_heading level0 row3\" >277</th>\n",
       "      <td id=\"T_03bf6_row3_col0\" class=\"data row3 col0\" >jabaadha ee mindaa atg hamile haa kan tuqudha uu isaa male dhabuun sirreeffamni nama cimaa gaddisisu hojjedhaa iskeelii hojjetamuu hojjettotaa ta</td>\n",
       "      <td id=\"T_03bf6_row3_col1\" class=\"data row3 col1\" >POS</td>\n",
       "      <td id=\"T_03bf6_row3_col2\" class=\"data row3 col2\" >POS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row4\" class=\"row_heading level0 row4\" >589</th>\n",
       "      <td id=\"T_03bf6_row4_col0\" class=\"data row4 col0\" >baqachuu dhiise mala gadi</td>\n",
       "      <td id=\"T_03bf6_row4_col1\" class=\"data row4 col1\" >NEG</td>\n",
       "      <td id=\"T_03bf6_row4_col2\" class=\"data row4 col2\" >NEG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row5\" class=\"row_heading level0 row5\" >616</th>\n",
       "      <td id=\"T_03bf6_row5_col0\" class=\"data row5 col0\" >bayyeessa jabaadhaa dha</td>\n",
       "      <td id=\"T_03bf6_row5_col1\" class=\"data row5 col1\" >POS</td>\n",
       "      <td id=\"T_03bf6_row5_col2\" class=\"data row5 col2\" >POS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row6\" class=\"row_heading level0 row6\" >448</th>\n",
       "      <td id=\"T_03bf6_row6_col0\" class=\"data row6 col0\" >mee aa isinumti bu tilmaama isaa</td>\n",
       "      <td id=\"T_03bf6_row6_col1\" class=\"data row6 col1\" >NEG</td>\n",
       "      <td id=\"T_03bf6_row6_col2\" class=\"data row6 col2\" >NEG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row7\" class=\"row_heading level0 row7\" >86</th>\n",
       "      <td id=\"T_03bf6_row7_col0\" class=\"data row7 col0\" >the inform for thank you</td>\n",
       "      <td id=\"T_03bf6_row7_col1\" class=\"data row7 col1\" >POS</td>\n",
       "      <td id=\"T_03bf6_row7_col2\" class=\"data row7 col2\" >POS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row8\" class=\"row_heading level0 row8\" >30</th>\n",
       "      <td id=\"T_03bf6_row8_col0\" class=\"data row8 col0\" >sin moo</td>\n",
       "      <td id=\"T_03bf6_row8_col1\" class=\"data row8 col1\" >NEG</td>\n",
       "      <td id=\"T_03bf6_row8_col2\" class=\"data row8 col2\" >NEG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_03bf6_level0_row9\" class=\"row_heading level0 row9\" >10</th>\n",
       "      <td id=\"T_03bf6_row9_col0\" class=\"data row9 col0\" >iftoominna gaariidha</td>\n",
       "      <td id=\"T_03bf6_row9_col1\" class=\"data row9 col1\" >POS</td>\n",
       "      <td id=\"T_03bf6_row9_col2\" class=\"data row9 col2\" >POS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x22903475c88>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comments = pd.DataFrame(columns=['Comments','Prediction','Label'])\n",
    "comments['Comments'] = x_test\n",
    "comments['Prediction'] = predictions\n",
    "comments['Label'] = y_test\n",
    "comments.replace([1,0],['POS', 'NEG'], inplace=True)\n",
    "with pretty_output(BOLD, FG_GREEN) as out:\n",
    "    out.write('                 RANDOM FOREST Comments Prediction                ')\n",
    "(comments.sample(10).style.applymap(color_negative_red, subset=['Prediction', 'Label']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "coordinate-examination",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:21.884181Z",
     "iopub.status.busy": "2021-06-29T16:54:21.883482Z",
     "iopub.status.idle": "2021-06-29T16:54:21.888779Z",
     "shell.execute_reply": "2021-06-29T16:54:21.889284Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1,\n",
       "       1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1,\n",
       "       1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0,\n",
       "       1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1,\n",
       "       1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0],\n",
       "      dtype=int64)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "published-graham",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:22.102694Z",
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     "iopub.status.idle": "2021-06-29T16:54:22.106564Z",
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     "shell.execute_reply.started": "2021-06-29T15:58:17.472212Z"
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>jabaadha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>nuf hubannoo fi uumeera odeeffannoo galaatoma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>fufaa itti gaariidha b nuuf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            text\n",
       "0                                       jabaadha\n",
       "1  nuf hubannoo fi uumeera odeeffannoo galaatoma\n",
       "2                          odeeffannoo gaariidha\n",
       "3                          odeeffannoo gaariidha\n",
       "4                    fufaa itti gaariidha b nuuf"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "regional-syndicate",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>nuf hubannoo fi uumeera odeeffannoo galaatoma</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>fufaa itti gaariidha b nuuf</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>nuuf galatooma</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>jirtu</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>nuti faana isin jirra jabaadhaa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>sin moo</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>oromiyaa dabalaaf mindaa caalaa sassaabbamaa g...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>male rakkoo loojistika goona haa beekamne beek...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>keessan nyaattanii ni seenu hin beekkamtiiin n...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
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       "      <th>12</th>\n",
       "      <td>dhabn irraa biiroo takka motora</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>jabaadha jabaannuu gammanne waliin baga haa</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>waqnii nuu wajiraa bara casaa kan kissii tiin ...</td>\n",
       "      <td>0</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "                                                 text  label\n",
       "0                                            jabaadha      1\n",
       "1       nuf hubannoo fi uumeera odeeffannoo galaatoma      1\n",
       "2                               odeeffannoo gaariidha      1\n",
       "3                               odeeffannoo gaariidha      1\n",
       "4                         fufaa itti gaariidha b nuuf      1\n",
       "5                                      nuuf galatooma      1\n",
       "6                                               jirtu      1\n",
       "7                     nuti faana isin jirra jabaadhaa      1\n",
       "8                                             sin moo      0\n",
       "9   oromiyaa dabalaaf mindaa caalaa sassaabbamaa g...      1\n",
       "10  male rakkoo loojistika goona haa beekamne beek...      1\n",
       "11  keessan nyaattanii ni seenu hin beekkamtiiin n...      0\n",
       "12                    dhabn irraa biiroo takka motora      0\n",
       "13        jabaadha jabaannuu gammanne waliin baga haa      1\n",
       "14  waqnii nuu wajiraa bara casaa kan kissii tiin ...      0"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission_df = pd.DataFrame(columns=['text', 'label'])\n",
    "submission_df['text'] = test_data.text\n",
    "submission_df['label'] = submission\n",
    "submission_df.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "south-deposit",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:22.485924Z",
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     "shell.execute_reply": "2021-06-29T16:54:22.524736Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.510462Z"
    },
    "papermill": {
     "duration": 0.131363,
     "end_time": "2021-06-29T16:54:22.525687",
     "exception": false,
     "start_time": "2021-06-29T16:54:22.394324",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "submission_df.to_csv('submission.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "functional-parent",
   "metadata": {
    "papermill": {
     "duration": 0.088706,
     "end_time": "2021-06-29T16:54:22.704027",
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     "start_time": "2021-06-29T16:54:22.615321",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "better-multimedia",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:22.887059Z",
     "iopub.status.busy": "2021-06-29T16:54:22.886343Z",
     "iopub.status.idle": "2021-06-29T16:54:23.536306Z",
     "shell.execute_reply": "2021-06-29T16:54:23.537647Z",
     "shell.execute_reply.started": "2021-06-29T15:58:17.550536Z"
    },
    "papermill": {
     "duration": 0.744988,
     "end_time": "2021-06-29T16:54:23.537934",
     "exception": false,
     "start_time": "2021-06-29T16:54:22.792946",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression(random_state=400)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "logmodel = LogisticRegression(random_state=400 )\n",
    "logmodel.fit(x_train_tfidf,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "prime-hopkins",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:23.780811Z",
     "iopub.status.busy": "2021-06-29T16:54:23.780171Z",
     "iopub.status.idle": "2021-06-29T16:54:23.784044Z",
     "shell.execute_reply": "2021-06-29T16:54:23.783338Z",
     "shell.execute_reply.started": "2021-06-29T15:58:18.123324Z"
    },
    "papermill": {
     "duration": 0.098495,
     "end_time": "2021-06-29T16:54:23.784198",
     "exception": false,
     "start_time": "2021-06-29T16:54:23.685703",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "log_predictions = logmodel.predict(x_test_tfidf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "turned-shopping",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:23.968113Z",
     "iopub.status.busy": "2021-06-29T16:54:23.967463Z",
     "iopub.status.idle": "2021-06-29T16:54:23.982621Z",
     "shell.execute_reply": "2021-06-29T16:54:23.981962Z",
     "shell.execute_reply.started": "2021-06-29T15:58:18.133556Z"
    },
    "papermill": {
     "duration": 0.110764,
     "end_time": "2021-06-29T16:54:23.982763",
     "exception": false,
     "start_time": "2021-06-29T16:54:23.871999",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[37, 15],\n",
       "       [ 5, 73]], dtype=int64)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix,f1_score\n",
    "confusion_matrix(y_test,log_predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "cathedral-graduate",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:24.165027Z",
     "iopub.status.busy": "2021-06-29T16:54:24.164372Z",
     "iopub.status.idle": "2021-06-29T16:54:24.172737Z",
     "shell.execute_reply": "2021-06-29T16:54:24.173247Z",
     "shell.execute_reply.started": "2021-06-29T15:58:18.165795Z"
    },
    "papermill": {
     "duration": 0.102034,
     "end_time": "2021-06-29T16:54:24.173432",
     "exception": false,
     "start_time": "2021-06-29T16:54:24.071398",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8795180722891567"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_score(y_test,log_predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "actual-doctor",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:24.354650Z",
     "iopub.status.busy": "2021-06-29T16:54:24.353959Z",
     "iopub.status.idle": "2021-06-29T16:54:24.361325Z",
     "shell.execute_reply": "2021-06-29T16:54:24.360803Z",
     "shell.execute_reply.started": "2021-06-29T15:58:18.181064Z"
    },
    "papermill": {
     "duration": 0.098051,
     "end_time": "2021-06-29T16:54:24.361478",
     "exception": false,
     "start_time": "2021-06-29T16:54:24.263427",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "lrac=accuracy_score(y_test,log_predictions)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "eda94e49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "84.61538461538461"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lrac"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "5d60a149",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method spmatrix.get_shape of <130x1355 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 619 stored elements in Compressed Sparse Row format>>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_test_tfidf.get_shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "3513e5aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.preprocessing.text import Tokenizer\n",
    "from tensorflow.keras.preprocessing.sequence import pad_sequences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "4531b8e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = Tokenizer(num_words=5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "f7028a71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<keras_preprocessing.text.Tokenizer at 0x2290b9d3948>"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "afbeb6a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict_sentiment(text):\n",
    "    fbcom = tokenizer.texts_to_sequences([text])\n",
    "    fbcom = pad_sequences(fbcom,maxlen=1355)\n",
    "    prediction = int(logmodel.predict(fbcom).round().item())\n",
    "    #return prediction\n",
    "    if prediction==1:\n",
    "        return \"Predicted label: Posetive\"\n",
    "    else:\n",
    "        return \"Predicted label: Negative\"\n",
    "    #print(\"Predicted label: \",[prediction])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "330a6fa8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Predicted label: Posetive'"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sentence1 = \"baay'ee gaarii dha.\"\n",
    "predict_sentiment(test_sentence1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "f1a2c9f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Predicted label: Posetive'"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sentence2 = \"sin moo!\"\n",
    "predict_sentiment(test_sentence2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "47aad653",
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr\n",
    "import gradio\n",
    "import joblib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "b24dfbc2",
   "metadata": {},
   "outputs": [],
   "source": [
    "outputs = gr.outputs.Textbox()\n",
    "app = gr.Interface(fn=predict_sentiment, \n",
    "                   inputs='text', \n",
    "                   outputs=gradio.outputs.Textbox(),\n",
    "                   description=\"This is sentment anlysis of ORB customer comments\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "914a54ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7875/\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"900\"\n",
       "            height=\"500\"\n",
       "            src=\"http://127.0.0.1:7875/\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x2290d5f8b08>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<fastapi.applications.FastAPI at 0x22904240648>,\n",
       " 'http://127.0.0.1:7875/',\n",
       " None)"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "app.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "russian-lincoln",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:24.545774Z",
     "iopub.status.busy": "2021-06-29T16:54:24.544717Z",
     "iopub.status.idle": "2021-06-29T16:54:31.257650Z",
     "shell.execute_reply": "2021-06-29T16:54:31.258096Z",
     "shell.execute_reply.started": "2021-06-29T15:58:18.193271Z"
    },
    "papermill": {
     "duration": 6.807195,
     "end_time": "2021-06-29T16:54:31.258271",
     "exception": false,
     "start_time": "2021-06-29T16:54:24.451076",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>jabaadha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>nuf hubannoo fi uumeera odeeffannoo galaatoma</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>fufaa itti gaariidha b nuuf</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            text  label\n",
       "0                                       jabaadha      1\n",
       "1  nuf hubannoo fi uumeera odeeffannoo galaatoma      1\n",
       "2                          odeeffannoo gaariidha      1\n",
       "3                          odeeffannoo gaariidha      1\n",
       "4                    fufaa itti gaariidha b nuuf      1"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission  = model.predict(test_x_tfidf)\n",
    "submission_df = pd.DataFrame(columns=['text', 'label'])\n",
    "submission_df['text'] = test_data.text\n",
    "submission_df['label'] = submission\n",
    "submission_df.to_csv('submission-log.csv',index=False)\n",
    "submission_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "584965fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0,\n",
       "       0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0,\n",
       "       1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1,\n",
       "       0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0,\n",
       "       1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1,\n",
       "       1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1,\n",
       "       1, 1, 1, 1, 1, 0, 1, 1, 1, 1], dtype=int64)"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission_df.label.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "0860394d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['jabaadha', 'nuf hubannoo fi uumeera odeeffannoo galaatoma',\n",
       "       'odeeffannoo gaariidha', 'odeeffannoo gaariidha',\n",
       "       'fufaa itti gaariidha b nuuf', 'nuuf galatooma', 'jirtu',\n",
       "       'nuti faana isin jirra jabaadhaa', 'sin moo',\n",
       "       'oromiyaa dabalaaf mindaa caalaa sassaabbamaa galiiwwan naannoo kana',\n",
       "       'male rakkoo loojistika goona haa beekamne beekamu maal',\n",
       "       'keessan nyaattanii ni seenu hin beekkamtiiin nuuf kiisii koottaa',\n",
       "       'dhabn irraa biiroo takka motora',\n",
       "       'jabaadha jabaannuu gammanne waliin baga haa',\n",
       "       'waqnii nuu wajiraa bara casaa kan kissii tiin faraaduu qofaa galuu haa galii beekamtiin kanafuu jiruu',\n",
       "       'waa gurri goon hin harreefuu',\n",
       "       'qabaa hojjettoota dabalamn biiroole maaf beekamtii kennuun gad kaniin akka jirtu argaa maal gatii miindaa mitii hin e ta',\n",
       "       'osoo haalli isinumti hojjetan ogeessonni mee aa taa mijateefi irra kana isaa teessoo anii qabaatin warri hin bu tilmaama fidan',\n",
       "       'waaqa hojjachu gamann caala waliin baga jabaann kana qabna',\n",
       "       'danda ni amaa', 'itti muddii',\n",
       "       'hamileen waajjiiri garii ee hundeefameeyuu gahu waajjiira keenya hin dhiheena ta',\n",
       "       'garuu fi biratti isin sadarkaan raawwachisummaa jiruu dandeetti foyyeessuu ille gaariidha cimsuuf ogeessa yaaluun dagatameera kun',\n",
       "       'gaaffii osoo hojjettoota deebii jiru nugammachiisu galii jiruuf wonti hin keessa waajiraale waatokko kennin',\n",
       "       'tokkolle zayita galatniifi kennam u danda hin bituu beekamtiin kun litira',\n",
       "       'gammaddan baga',\n",
       "       'qaba kennuun addaa hojjechuudha hojjettootaaf gadiirra aa hojjettoonni maalii miidhamaa sadarkaa taasifamuuf bu jiran beekkamtii faayidaan akka jiruu',\n",
       "       'jabaadhaa', 'keessan beekamtii godhaa ofumaaf',\n",
       "       'osoo itti abbaatu barbaaddanii beeka furamu akka hojjatamu maqaa qofti godha silaa jiru biroo maal rakkoo jiraatu gootu hojiin keessa',\n",
       "       'isin warra nu gubbaati warri ajjees',\n",
       "       'qabaa teessoo fi qabn walitti safuu biiroo logist homaa hin galii',\n",
       "       'waliin baga gaman',\n",
       "       'fayidaa hojjeeta barbachisadha demmun ilaalaa',\n",
       "       'waan amile gaarii fi hojii garuu akkuma hojjetaa ilaalame uumudha kan utuu gaariidha nama keessati faayidaan kana kun',\n",
       "       'waalin gamaan bagaa', 'ittifufaa',\n",
       "       'waan qaba kennuun rakkoo garii fi yaadamu lojistikii mana itti e hojjichaa caasaan beekamtii ta',\n",
       "       'a what joke',\n",
       "       'yom beeka haqa oolla taheef hojjata wan male eggam miilan deema nyachisuf badiya guur hojji galata fii wajirakana galatonfatam',\n",
       "       'milkaa fuula fi garuu waljajjabeessuu barbaachisaadha duraatti hojjetamu hojiin walgalateeffachuun gara uuf akka',\n",
       "       'malu rakkoo dadhabn gatii isaaf kennuun itti teenye aa bu keessa finef barbachisaadha',\n",
       "       'gad mindaa aana jira argachaa', 'xiqqoshe qaanoftanuu hin',\n",
       "       'baay ee gaariidha',\n",
       "       'oli guyyaa waayyane gadii badhaasa oftan dhiiroo kan gadi akkumma caasaan tokkoo haaraa boruu keessan oduu galbaaxamtuu keessaniif abbaa jettani gaara warraa',\n",
       "       'bgo excel', 'waan irraa gaariidha baayyeen baratama kun',\n",
       "       'maali keessatti bgo gaheen kana',\n",
       "       'hojii gaarii qaba jabaadhuu cime itti dha mudda fufu kun',\n",
       "       'seeraan mootummaa argatanitti deemuu irraa kan biyyittii lammummaati faayida hanga kanaan ala kafaluun dirqama yaluu kabachiisuudha seera gibira adabamuun',\n",
       "       'waan gaariidha',\n",
       "       'fakkaat kkkkkk muu guddinaa iskeelii mindaa natti moo anoo sadarka',\n",
       "       'ti galme galiin qabatuuf ofii warra kan tgg sadarkaa kaffalaa murteessu moo gibiraa beeksis',\n",
       "       'galatooma', 'baay gaarii ee dha', 'the keep good up work',\n",
       "       'baay ee gaariidha',\n",
       "       'hubannoo yeroon qaba yeroo itti gaariidha yadachiisni akkanaa fuufuu',\n",
       "       'taan fi daldala dogoogora yoo mana keetii maali hin gamoo kirreessun',\n",
       "       'hubannichi ate maxxanfamuu haa bal', 'done wel',\n",
       "       'hubannoo saba akkasitti keessaniif kennaa bgo cimaa eeyyeen',\n",
       "       'haala kanan ee baay itti fuf gaariidha',\n",
       "       'the inform for thank you', 'it keep up', 'good job', 'good job',\n",
       "       'dhimma hubannoo fi fufaa yaada gaariidha taaksii ittuma kennaa eeyyeen gibiraa kun',\n",
       "       'galiin jabaadha misomaf',\n",
       "       'garuu ra yeroon osoo ee gaarii fufaa baay hojjettoota jijjiraan itti yeroo hojjetame gaariidha a w gaaliif ta',\n",
       "       'qabaa jabaadha itti kennuudha walfakkataa lakkisuun fufuu galiiwwanii gaariidha gadi kun labsiiwwan cime kaffalaa galatoma gibiraatif bayy hubannoo biiroo midiyaadhaan',\n",
       "       'hojjachuu qaba fi fudhattoota hojjatan hundi hoggansa kanaa galii kaka umsa qabaachu deegarsii qoofa cimuu biroo kutaannon',\n",
       "       'wajjin hojii isaaf gahaa ramaduun deemuu hojjetamuu aa madaalaa bu baajeta kennanii qabuuf barbaachisuu isaa',\n",
       "       'uu danda sassabu dursa galii kennanii sasabamuu',\n",
       "       'hojjechuu taane waliin',\n",
       "       'gigo hojjachu salari dugugam humna revenu poor gutun dha garbag kanaafu in namaa galu out akka',\n",
       "       'hojjii fi male barbaachiisadha jiraa gahaa loojistikii garagarumm namaa hojjachaa humnii kamiifu',\n",
       "       'ta inveestimaantii tasiisaa ni kuuffaamaa deegarsaa caancoo galii irraatti wanta jiraa kan cimaa jira sasabbii ture eef magaala nuuf addatuu',\n",
       "       'kun seektari logistikin tauufi kafaltin casan taeen degaramuufi milkauuf nama toole humana gaa',\n",
       "       'keessattu hojjeechuu hojiichaa dirirsuun mana sadarkaa fakkatuu caasaa godinale',\n",
       "       '',\n",
       "       'waaqa dalaguu kadhatanii dhaabbatanii qofaatuu anii waliin qajeelfama a irra nama wal gal mmaan ga ta',\n",
       "       'keessattuu lojistikii sadarkaa aanaa irratti',\n",
       "       'tokkummaan akkaataa humna galchaanii deeggaranii hojittii loogistikiin barbaachisu namaa caaseffaamaatiin qofa ramadanii hojjachuu',\n",
       "       'male akka gochuu dha hordofuun murtaa galu e galii harcaatii',\n",
       "       'xiiqiitiin aantummaa miira sassaabne cimaarratti ijaarra keenya bu ummataatiin biyya uura',\n",
       "       'kennuun hojjetaa hojiitti galchuu leenjii',\n",
       "       'dalaguu qofa jabaatanii',\n",
       "       'fi hojjetaa humna gahaa eessuu baajata si nama ramaduu',\n",
       "       'hundumaa leenjii daguuganii hojjetaaf humna galchuu namaa guutuun hanqina galii kennuu',\n",
       "       'hoo jedhu irraa isa biiroo abbaa maalii taayitaa hiikni molqitaani jechi kun of',\n",
       "       'wayyoo', 'jijjiiram hojjetaa ee waa maaltu', 'ok boss',\n",
       "       'maqaa keessanitti deebtaan garaa nagan bsga dhaloota',\n",
       "       'maalif garu e ta',\n",
       "       'garuu oromiyaa caala kan miindaan waajjira gambeelaatuu maaliif galiiwwan naannoo',\n",
       "       'him', 'maqaa isin rabbii waajjira qofaati dhugaa',\n",
       "       'maqaa keenyaa moo yaa jijjiiruu kaayyoo wayyare jara',\n",
       "       'hoo maqaa rakkoo mirgii ile akkami hojjeta jijjiramni hin qabu',\n",
       "       'waa ergaa masteshii isinii maxxansam kollaan',\n",
       "       'gatina jabaadhu jirra sibuukk jaww nan',\n",
       "       'garuu isin hojjataa aarseera jaalanna guddoo caasaan',\n",
       "       'ee ani hojjatootaa gadaa bayi',\n",
       "       'haala yoo ni waggan kamiin kaffaaltin daabale dabala waggaa gibra',\n",
       "       'qaba jajjabaachuu', 'qaba jajjabaachuu',\n",
       "       'barbaachisumo keessan leenjiin dubbin hin akkam ogeessamoo kun',\n",
       "       'naannoon keenya',\n",
       "       'haala ama galiin kanaan sassabuun ni u maddisisuu danda keenya aannoon duguuguun',\n",
       "       'baay gaarii ee dha',\n",
       "       'osoo taan fi adabuu barsiisu atgo kaayyoo hin toorri xiyyeeffanna',\n",
       "       'galii qindeessa baatuuti hojjetaa ballan tiif jechaa gaariidhaa isaa male niyaadatama turuun oppereshinii haata keessan magaalaa bara u kenname yaadi leenjjiin',\n",
       "       'waan dansaa',\n",
       "       'hojjettanu ni u hin qabuu badhasuu sirrumaa amoo bakka ta',\n",
       "       'garuu qaba badhaasun diriruu hojjechiisu abba hojjeta hojimatni taayitaa keessatti gaaridha dura',\n",
       "       'qaba itti fufu jabaat', 'waan gaariidha', '',\n",
       "       'kaffalchisuun barsisaa ka alaa seeraan yeroo hubadha jira ame kaffalti',\n",
       "       'fi godiinaaleen magaaloonni duubaatti gaariidha hafaan jabaachuu qabu',\n",
       "       'yeroo bara daldaalaa hin balleessina baran amaala dheerresitaani',\n",
       "       'saaxilamuun ad adabbiif maleedha',\n",
       "       'hojjetaman fi aanole akkaataa kanaan salphaatti jedhu yaada nu beeksisuun kan gaariidha hojiile otoo kooti qaamole dabaltanii raawwatan',\n",
       "       'hojii dogoggorriille uu u danda hin maata ta', 'admale',\n",
       "       'keessaan dhisaatti oduu oromotti jijjirra sigta softwar afaan kana',\n",
       "       'tumsuun hundii hawaasaa barbaachiisaadha qaamoleen xiyyeeffannoon galii',\n",
       "       'hojjetamu ololli sassaabbii gibiraa danquuf',\n",
       "       'deggarsa barbaadu kun godinaaleen',\n",
       "       'waan keessaan kanaan erguun gaariidhaa nuuf akkata duubdeebii eeyyeen',\n",
       "       'atgo kominikeeshinii galatooma',\n",
       "       'xinxalii qaba ta kanaan ee gaari itti dhiyachuun fufu bifa isaa',\n",
       "       'galiin misoomaaf', 'gaaridha',\n",
       "       'osoo gabaasa agarsiisu hojjate dhaabbate kan gadi bobba uu koreen qofa namatti funaanu taan hojii qaba jedhamu hin e ta',\n",
       "       'area garuu sirridha jechuun yaada guddaadha kijibuun xiyyeeffann qaanii kijiba product kkkkkkkkkk irratti guddaa',\n",
       "       'sadarkaan akkaa saxilamne isaani hundii atgo kaffalaan addabbiif hin gibiraa qabnaa godhuu jiruu',\n",
       "       'ashamaa', 'oromiyaa abba galiiwwanii tayitaa asxaa',\n",
       "       'yeroon kaffaluun jalqabaati isa qaromiina gibiraa',\n",
       "       'waan hiikaa yaadichaa fi ergaa eef galatoomaa jijjiira geeddara ykn dogoggoruun qube ta',\n",
       "       'gibiraa amanummaan kaffalluu haa',\n",
       "       'yeroon kafaluun aada keenya gibiraa',\n",
       "       'qaba oromiyaa seera guddifna cime akkanaan hojjatamuu kun santu',\n",
       "       'gargarsa biraa eeggann oromiyaan qaama oromoon irra hin hi akka',\n",
       "       'mata yakka aa fudhachuuni kennuni',\n",
       "       'qaama olii naannoo laafaadha gadii barbaachifn jiruu baasii fi kaffaluun hambisa irraa hordoffiin hanga keessattuu eyye nama isheetti garuu yeroon gibira finfinne hin',\n",
       "       'daldalaa humnaa tool ummata warra darariinaa gibira w hin fiduun olii',\n",
       "       'fi kaffaluun lammii haabaanu dirqama gibira taaksii',\n",
       "       'qaroomnati kaffaluun haatudha gibira mallattoo biyaa maqsuun ofi imoo',\n",
       "       'osoo yeroon saxilamne hundii kaffalaan kaffaluu hin haa gibiraa adabbiif',\n",
       "       'hayye', 'abshaalummaadha mootummaa kafaluun gibira',\n",
       "       'tahaa garuu qaba mata wanti jedhamu lammiin dirqama aa gaariidha kuni gufuu gubboo jira kamiyyu bahuu',\n",
       "       'gaaridha',\n",
       "       'galiin yomiyuu galma gahuu mana atg qophes oromiyatin galin hin kun',\n",
       "       'waan qaba ture kanaan foyyaa u hojiin qindoomina tureef lafaa dura',\n",
       "       'waan qabn mulatuf kan aa hin bu e homatu ta',\n",
       "       'garuu hubannoo raawwatuuf barbaachisaadha jechuun uumuun enyu gaariidha qaama laataa',\n",
       "       'miitti yeeroon dhiimaa caasaa dhiimmii keenaamuu',\n",
       "       'mana qopheessaafi hojiirra gibiraa galii diriirsuu bulchiinsa oolfametti kun galiun softiwar feesisa softwar waan akkuma tokko sigta idileef tahe',\n",
       "       'tolaajabadha namati',\n",
       "       'waan jabaadha ee baay bara foyyeessa gariidha oromoyaa taayitaa abbaan galiiwwan jira baran',\n",
       "       'jabaadha wanti gaariidha sirrachuu baayye qabu',\n",
       "       'bareedaadha garuu oo qabeessi odaan dhuga inni oromoo hin bal qabu',\n",
       "       'waan yaad gaari', 'waan dhuguumatti hunda qabata',\n",
       "       'akkasii wanta best barbaadna logo gaarii fufaa itti dha bareeda haaraa kanuuman baayye ever',\n",
       "       'waan garuu gaarii qaba ya fi badu gochaan mirkanna yaa uu dafe sanyumaa naannummaan dhugumaan hojira oluu kun',\n",
       "       'ee baay mirkana uu asxaan bareeda keenya haa',\n",
       "       'worker also recruit decentr',\n",
       "       'it thi logo day train is should becaus expert improv have deliveri special servic to technolog good by updat provid employ new for you',\n",
       "       'it logo veri beauti ye', 'it stupid a what is page derti and',\n",
       "       'waan garuu keessan ture gaafachaa hojjataan raajii san bara barbaaddan gaafii dheeraa deebistanii jijjiiraa',\n",
       "       'kkkkkkkkkkk warra asxaa',\n",
       "       'qabna ragasisse mal isin isinif hojittii dandessaan hin ill hikachuu abdii irra labsii caffen',\n",
       "       'asxadha hojata jechudha xiqol moo asxaa loogoo mirga hin dursa saalfatani maal',\n",
       "       'fayyida kabachiifinet hanga ee atgo asxa hin dubbachun hasahun wa hojataa faayida qabu',\n",
       "       'gargaaruun keenya wal aadaaf duudhaa',\n",
       "       'mirgaa fi leenjii hojjataan bara atgo hojjattoota itti ille u yaadatame kabajamuu fudatu nuuf amen haa mirgi ta',\n",
       "       'hojjanu walumaan agartan ni kaffalchifna jirra dachaan akka isiin akkamitti',\n",
       "       'milkaa kkkkk keenyaa male miti hojjattoota cimina keenyaatiin hoggansaatiin ina iccitiin',\n",
       "       'milkaa fiduuf nu qopheessa ina guddaa',\n",
       "       'fakkaanne oggaana kanaatti natti jechaa hin akka',\n",
       "       'jechii hoggansa him hojjeta kana kun eguu agarsifte sober yarabbii afaanumattii nu malooo fayyida abbey ganfaa safuu basuu ulfaatu',\n",
       "       'milkaa osoo taan ciminaa fi inaa hojjattoota cimina hundaati hin qofa kutannoo hoggansaa iccitiin',\n",
       "       'hojiif hojjetaan ille godhotu ciimsuuf gaariin walqabatu hoggansa kennamm toluuf akka suspens yoo waanti hidhannoo nama jira fayidaa kallattiin yaada',\n",
       "       'sirrayyaa ok issiinii yoo wayyanne taanaa ammaa gubattanilee maalii oromoo innuumaa kijibdootaa dhimmii turrelle reee ergamtootaa',\n",
       "       'kkkkk fakkaata hunda waanuma kkkkkk ofiif kkkkkkk xummurtan',\n",
       "       'ee jabaadhu baay akkana atgo isa kessa nama dinqisisaa argamuun',\n",
       "       'garuu gaarii qaba ee hojjatan hunda baay yoo jajjabeeffamuu dha ogeessota hirmaachise irratti tqo jedh kun',\n",
       "       'garuu qabn hojjetaa muraasa herreguu kan qabutti gariidha danda ji hojjedha hin tot ota uutti akka',\n",
       "       'hojiittii jabadhaa jijjiraa', 'ammalle baayye gaariidha',\n",
       "       'mucaan qaba badhaafamuu dubbachuudhaaf dhugaa kun',\n",
       "       'jalqab kalaqini fakkata fuufaa i itti natii think kun',\n",
       "       'isinuu male siniif waanuma gammanneerra gaddin beektu dhiifn takkaan ishii',\n",
       "       'gochaa haqa si gibiraa ammayyaa sirni fi aa akka isaa olaanaa tattaaffiin jiru qabeessa ataa keenyaa karaa atgo dha gaheen uuf ta',\n",
       "       'gaaridha', 'ture mare bareedaa',\n",
       "       'waan namaaf anuu taa u hin bira', 'galiin misoomaaf',\n",
       "       'barreesitan garuu uumun hubannoo yeroo dogongora gaariidha eegaa ofirraa akkati qube',\n",
       "       'waan jiru itti amma beeksisaa daddabalaatii gaaridha haaraa',\n",
       "       'dhugaa dha',\n",
       "       'gibiraaf hawaasa ergaa dabarsuun kaffala gahe lammummati kana',\n",
       "       'kenamuun ee baay adda gaariidha addaatiin hubbanan galatoma gara kun',\n",
       "       'guddinaat dhoksuun gufuu gibira', 'male leeyyoo guddaa',\n",
       "       'ye qaaniidha', 'osoo kennitan ibsa aa gaariidha into bal', 'like',\n",
       "       'osoo taan dirqama gibira kanfaluun mirga lammumaati hin',\n",
       "       'jiru hubannoon itti ruin gaariidha fufnu gama haa darbaa fb',\n",
       "       'hubannoo garii ummuu kan kafaluu gibiraa dhaa fedhii',\n",
       "       'waan hubannoo gaarii fufaa hojiin iti akanaa taheef jabaadhaa kun baaye',\n",
       "       'jabaadha ee mindaa atg hojjedha hamile haa kan tuqudha uu isaa male dhabuun sirreeffamni nama cimaa gaddisisu iskeelii hojjetamuu hojjettotaa ta',\n",
       "       'jabaadha ee mindaa atg hamile haa kan tuqudha uu isaa male dhabuun sirreeffamni nama cimaa gaddisisu hojjedhaa iskeelii hojjetamuu hojjettotaa ta',\n",
       "       'osoo mindaa atg dhiisuun hojjatanuu namatti isaa anii sirreeffamni gaddisiisa nama ilaaluu garuu toltu dhama galiin misoomaaf akkanatti iskeelii baayye',\n",
       "       'akkuma jirutti qaamni leenjii ee fudhachuu qaba baasuun hiiku labsii kana ta',\n",
       "       'fuula jiran qajeelfamoota duraatti danbiifi labsiiwwan galatoomaa gaariidhaa hojiirra gara',\n",
       "       'hojii gaggeessuuf haalli iitti ee baay tgg seenam karoorfame gaariifii',\n",
       "       'hojii gaggeessuuf haalli iitti ee baay gaariidha tgg seenam karoorfame',\n",
       "       'garuu dhimmi mindaa sirriidha kuni',\n",
       "       'ni kan mindaa jechaadha tursitu',\n",
       "       'ni kan mindaa jechaadha tursitu',\n",
       "       'haalii wantii akkumaa qabanii sirresuu jirutii darakeechii e jira ibsame baayyetu ta',\n",
       "       'takkaa al hojjetaa haalaan keenyaatti guyyumaa atg har tgg takka faayidaa aa eegaleeraa dubbadhaa godinaa akka',\n",
       "       'birootii kkkkk maqaa jirtuu sarvaantii godhaa gahe amma nu dafaa gadi atg naqaa sivil arginneerra qofa jelatti achi',\n",
       "       'hiikuu waan ef ta keenyaa jiraa waayane oduu duraa garahojittii him obn yaalaa isinkeessaa waamachunu oluu sirnii',\n",
       "       'omishuut yaalaa dhibe kkk sanuu mee federaa isaa qorannoon yoo scienc nikulara samii kkkkk kanuma e qorannoo ykn hawaa space ta',\n",
       "       'tara dhuga off garidh gibir bara kan utuu wajiricha midan bekkan irra keessa qabidu jira hidebihamu jift',\n",
       "       'lamaaf sirritti ni amma rakkkoo hin qoradhaa eeggana waggaa qabu',\n",
       "       'baay ee nama gadiisisa',\n",
       "       'hojjetam ee baay yeroo gaddisiisa nama hedduuf xumur',\n",
       "       'nuu hojii safuu dhumaan gurrii oduu sirrii coome kam laata hojjeettuu gaafuma',\n",
       "       'yoom waa rakkise kanaa been isiin',\n",
       "       'male jiraa kkkkkk agto kan kolfan hin dhumnem obsine olitii jiruu midhame',\n",
       "       'mindeeffamuun ee baay itti gadiisiisa gaditi nama biroo naannoole yaadaa',\n",
       "       'hojjetaan nuti qophii waajjiricha gad xumurre dhiifne jirra atg ba uuf',\n",
       "       'gowwoomsan gootan nu fooniin nama sare',\n",
       "       'keessan qorannoon hidhumu baradaa jirtani maali meerkurii',\n",
       "       'maalif nu sobduuuuuuu',\n",
       "       'nyaachuufi ofumaa ammatti funaantaan isiin maal',\n",
       "       'jedham gurri nu boolla guddatt itiyoophiyaan namm maaliitti coom',\n",
       "       'mootummaa kanaaf fi isin eeggchaa jiraa kan hojjanuuf kana dhiibaa obsaan nutii irratti geesinu waan hojii eef ummata hin ta',\n",
       "       'jenne ture gammaadaa jiraa dr rajjii argane ammumaale kana',\n",
       "       'dhugooma yoomuma laata siniif', 'dhugooma yoomuma laata siniif',\n",
       "       'goromsaa aanaan obsaan dhugaa jedhama',\n",
       "       'hojjetaan ta hanga ee dameewwan keessaa utti yaa atgo waajjirri obsaa duwwaa jettaniire isaa',\n",
       "       'abjuu amanta nu nyaachifttu qabnnu irra yoomitti hin yoomoyyu sin hamma buddeen',\n",
       "       'muxxannoo fudhanne irraa atg hin maaf federaala',\n",
       "       'nyaata namaaf hojjataan ofii qixaa atgo bideena qopheessa jira',\n",
       "       'hojjetaan gufuu wal fi gituu isa keessatti ulfaatin jiru dhabuun irratti hojii era argacha hojjetamuu atgo mindaan hojiin ta',\n",
       "       'jiru jaala ani ilaala atgo akkamti kootii gama keessatu dame akka isaa',\n",
       "       'ta itti yaadamuu muxannoo kan eera qofa qixa kun maqaa caala sirriitti qabu qaba hojjataan atgo mindaan waajjira birootu',\n",
       "       'qaba hiikamuu hojjotti hatantamaan gaariidha',\n",
       "       'siriidha seeradha kun',\n",
       "       'kessaniif nu galatoomaa dhageesisuu kana', 'galatoomaa',\n",
       "       'galata dhageessisuu nu qabdu keessaniif kanumaayu guddaa',\n",
       "       'keessanif jechuun yaada heeru nuuf barbaada ulfaadha',\n",
       "       'dhabaa jabaadha hojjataan jiraa hamile keenya jara',\n",
       "       'ffaa kanii furameera kan ittuma deemna obsaa',\n",
       "       'keessan yaada tti gaaridha yaanni akka',\n",
       "       'labbsiin bbbbb kun garidhaa',\n",
       "       'qabaa ta ee daldaltotaa hubanaa maamiltoota kenyaaf garattin tolaa gara bifaa namatti midiyaani keenamuu baaye',\n",
       "       'waan haara jiru ummataaf akkanuma ibsaa galatoom elle',\n",
       "       'yaadame gaarii fi hojjattota ee raawwataniif maaltu tgg gaggeessuun baasuu labsii kana ta'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission_df.text.values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "rolled-andorra",
   "metadata": {
    "papermill": {
     "duration": 0.0875,
     "end_time": "2021-06-29T16:54:31.434101",
     "exception": false,
     "start_time": "2021-06-29T16:54:31.346601",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Gradient Boosting Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "serious-transparency",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:54:31.617299Z",
     "iopub.status.busy": "2021-06-29T16:54:31.616675Z",
     "iopub.status.idle": "2021-06-29T16:55:04.984125Z",
     "shell.execute_reply": "2021-06-29T16:55:04.984648Z",
     "shell.execute_reply.started": "2021-06-29T15:58:24.905471Z"
    },
    "papermill": {
     "duration": 33.46291,
     "end_time": "2021-06-29T16:55:04.984832",
     "exception": false,
     "start_time": "2021-06-29T16:54:31.521922",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GradientBoostingRegressor(n_estimators=550)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "\n",
    "alg= GradientBoostingRegressor(n_estimators= 550, learning_rate= 0.1, max_depth= 3)\n",
    "alg.fit(x_train_tfidf,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "productive-break",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:55:05.169912Z",
     "iopub.status.busy": "2021-06-29T16:55:05.169240Z",
     "iopub.status.idle": "2021-06-29T16:55:05.172725Z",
     "shell.execute_reply": "2021-06-29T16:55:05.172221Z",
     "shell.execute_reply.started": "2021-06-29T15:58:57.098680Z"
    },
    "papermill": {
     "duration": 0.09753,
     "end_time": "2021-06-29T16:55:05.172867",
     "exception": false,
     "start_time": "2021-06-29T16:55:05.075337",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "alg_predictions = logmodel.predict(x_test_tfidf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "labeled-establishment",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:55:05.356754Z",
     "iopub.status.busy": "2021-06-29T16:55:05.356083Z",
     "iopub.status.idle": "2021-06-29T16:55:05.370890Z",
     "shell.execute_reply": "2021-06-29T16:55:05.371346Z",
     "shell.execute_reply.started": "2021-06-29T15:58:57.105204Z"
    },
    "papermill": {
     "duration": 0.108808,
     "end_time": "2021-06-29T16:55:05.371553",
     "exception": false,
     "start_time": "2021-06-29T16:55:05.262745",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[37, 15],\n",
       "       [ 5, 73]], dtype=int64)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix,f1_score\n",
    "confusion_matrix(y_test,alg_predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "subsequent-alabama",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:55:05.557503Z",
     "iopub.status.busy": "2021-06-29T16:55:05.556456Z",
     "iopub.status.idle": "2021-06-29T16:55:05.565582Z",
     "shell.execute_reply": "2021-06-29T16:55:05.564862Z",
     "shell.execute_reply.started": "2021-06-29T15:58:57.128119Z"
    },
    "papermill": {
     "duration": 0.103903,
     "end_time": "2021-06-29T16:55:05.565730",
     "exception": false,
     "start_time": "2021-06-29T16:55:05.461827",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8795180722891567"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_score(y_test,alg_predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "correct-arthritis",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:55:05.749451Z",
     "iopub.status.busy": "2021-06-29T16:55:05.748792Z",
     "iopub.status.idle": "2021-06-29T16:55:05.755556Z",
     "shell.execute_reply": "2021-06-29T16:55:05.755048Z",
     "shell.execute_reply.started": "2021-06-29T15:58:57.139803Z"
    },
    "papermill": {
     "duration": 0.101015,
     "end_time": "2021-06-29T16:55:05.755696",
     "exception": false,
     "start_time": "2021-06-29T16:55:05.654681",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "xgac=accuracy_score(y_test,alg_predictions)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "f8e2bf35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "84.61538461538461"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgac"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "little-footage",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:55:05.941599Z",
     "iopub.status.busy": "2021-06-29T16:55:05.940911Z",
     "iopub.status.idle": "2021-06-29T16:55:05.944006Z",
     "shell.execute_reply": "2021-06-29T16:55:05.943505Z",
     "shell.execute_reply.started": "2021-06-29T15:58:57.148273Z"
    },
    "papermill": {
     "duration": 0.097709,
     "end_time": "2021-06-29T16:55:05.944145",
     "exception": false,
     "start_time": "2021-06-29T16:55:05.846436",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "turned-founder",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:55:06.184557Z",
     "iopub.status.busy": "2021-06-29T16:55:06.165159Z",
     "iopub.status.idle": "2021-06-29T16:55:06.298679Z",
     "shell.execute_reply": "2021-06-29T16:55:06.298127Z",
     "shell.execute_reply.started": "2021-06-29T15:58:57.157846Z"
    },
    "papermill": {
     "duration": 0.246286,
     "end_time": "2021-06-29T16:55:06.298822",
     "exception": false,
     "start_time": "2021-06-29T16:55:06.052536",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ENVY\\.conda\\envs\\tensorflow\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "models = [\"Naive Bayes\", 'Random Forest', 'XGBoost']\n",
    "acc = [lrac, rfac, xgac]\n",
    "plt.style.use('ggplot')\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.barplot(models, acc, );\n",
    "# Get current axis on current figure\n",
    "ax = plt.gca()\n",
    "\n",
    "# ylim max value to be set\n",
    "y_max = 110 \n",
    "ax.set_ylim([0, y_max])\n",
    "\n",
    "# Iterate through the list of axes' patches\n",
    "for p in ax.patches:\n",
    "    ax.text(p.get_x() + p.get_width()/2., p.get_height(), '%d' % int(p.get_height()), \n",
    "            fontsize=12, color='red', ha='center', va='bottom')\n",
    "plt.title('Accuracy of classifiers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "american-change",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T16:55:06.488345Z",
     "iopub.status.busy": "2021-06-29T16:55:06.487710Z",
     "iopub.status.idle": "2021-06-29T16:55:13.188704Z",
     "shell.execute_reply": "2021-06-29T16:55:13.188165Z",
     "shell.execute_reply.started": "2021-06-29T15:58:57.296818Z"
    },
    "papermill": {
     "duration": 6.799185,
     "end_time": "2021-06-29T16:55:13.188857",
     "exception": false,
     "start_time": "2021-06-29T16:55:06.389672",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>jabaadha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>nuf hubannoo fi uumeera odeeffannoo galaatoma</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>odeeffannoo gaariidha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>fufaa itti gaariidha b nuuf</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            text  label\n",
       "0                                       jabaadha      1\n",
       "1  nuf hubannoo fi uumeera odeeffannoo galaatoma      1\n",
       "2                          odeeffannoo gaariidha      1\n",
       "3                          odeeffannoo gaariidha      1\n",
       "4                    fufaa itti gaariidha b nuuf      1"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission  = model.predict(test_x_tfidf)\n",
    "submission_df = pd.DataFrame(columns=['text', 'label'])\n",
    "submission_df['text'] = test_data.text\n",
    "submission_df['label'] = submission\n",
    "submission_df.to_csv('submission_gb.csv',index=False)\n",
    "submission_df.head(5)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 140.013844,
   "end_time": "2021-06-29T16:55:14.938586",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2021-06-29T16:52:54.924742",
   "version": "2.3.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}