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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "7a3ff9c9-8642-43b9-b1f3-302c227d6acd",
"metadata": {},
"outputs": [],
"source": [
"#Import the libraries we know we'll need for the Generator.\n",
"import pandas as pd, spacy, nltk, numpy as np, re, ssl\n",
"from spacy import displacy\n",
"from spacy.matcher import Matcher\n",
"from nltk.corpus import wordnet\n",
"#!python -m spacy download en_core_web_md\n",
"nlp = spacy.load(\"en_core_web_md\")\n",
"lemmatizer = nlp.get_pipe(\"lemmatizer\")\n",
"\n",
"#Import the libraries to support the model, predictions, and LIME.\n",
"from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline\n",
"import lime\n",
"import torch\n",
"import torch.nn.functional as F\n",
"from lime.lime_text import LimeTextExplainer\n",
"\n",
"#Import the libraries for generating interactive visualizations.\n",
"import altair as alt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "730cc6fd-f125-42be-ba42-9a7741f82ef5",
"metadata": {},
"outputs": [],
"source": [
"#Defining all necessary variables and instances.\n",
"tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased-finetuned-sst-2-english\")\n",
"model = AutoModelForSequenceClassification.from_pretrained(\"distilbert-base-uncased-finetuned-sst-2-english\")\n",
"pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer, return_all_scores=True)\n",
"class_names = ['negative', 'positive']\n",
"explainer = LimeTextExplainer(class_names=class_names)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "1a40f224-25ce-4b57-88fb-404cccbc878b",
"metadata": {},
"outputs": [],
"source": [
"#Defining a Predictor required for LIME to function.\n",
"def predictor(texts):\n",
" outputs = model(**tokenizer(texts, return_tensors=\"pt\", padding=True))\n",
" probas = F.softmax(outputs.logits, dim=1).detach().numpy()\n",
" return probas"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "201c4792-868b-4e6a-a8d2-f6ffb2f8971a",
"metadata": {},
"outputs": [],
"source": [
"# A simple function to pull synonyms and antonyms using spacy's POS\n",
"def syn_ant(word,POS=False,human=True):\n",
" pos_options = ['NOUN','VERB','ADJ','ADV']\n",
" synonyms = [] \n",
" antonyms = []\n",
" #WordNet hates spaces so you have to remove them\n",
" if \" \" in word:\n",
" word = word.replace(\" \", \"_\")\n",
" \n",
" if POS in pos_options:\n",
" for syn in wordnet.synsets(word, pos=getattr(wordnet, POS)): \n",
" for l in syn.lemmas(): \n",
" current = l.name()\n",
" if human:\n",
" current = re.sub(\"_\",\" \",current)\n",
" synonyms.append(current) \n",
" if l.antonyms():\n",
" for ant in l.antonyms():\n",
" cur_ant = ant.name()\n",
" if human:\n",
" cur_ant = re.sub(\"_\",\" \",cur_ant)\n",
" antonyms.append(cur_ant)\n",
" else: \n",
" for syn in wordnet.synsets(word): \n",
" for l in syn.lemmas(): \n",
" current = l.name()\n",
" if human:\n",
" current = re.sub(\"_\",\" \",current)\n",
" synonyms.append(current) \n",
" if l.antonyms():\n",
" for ant in l.antonyms():\n",
" cur_ant = ant.name()\n",
" if human:\n",
" cur_ant = re.sub(\"_\",\" \",cur_ant)\n",
" antonyms.append(cur_ant)\n",
" synonyms = list(set(synonyms))\n",
" antonyms = list(set(antonyms))\n",
" return synonyms, antonyms"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "89aaea6d-a4b7-4995-85b5-625e6db292da",
"metadata": {},
"outputs": [],
"source": [
"# Builds a list dynamically from WordNet using NLTK.\n",
"def wordnet_list(word,POS=False):\n",
" word = word.lower()\n",
" pos_options = ['NOUN','VERB','ADJ','ADV']\n",
" synonyms, antonyms = syn_ant(word,POS,False)\n",
" #print(synonyms, antonyms)\n",
" base = []\n",
" final = [word]\n",
" #WordNet hates spaces so you have to remove them\n",
" m_word = word.replace(\" \", \"_\")\n",
" \n",
" if POS in pos_options:\n",
" for syn in wordnet.synsets(m_word, pos=getattr(wordnet, POS)):\n",
" base.extend(syn.hyponyms())\n",
" base.append(syn)\n",
" \n",
" if len(synonyms) > 0:\n",
" for w in synonyms:\n",
" w = w.replace(\" \",\"_\")\n",
" for syn in wordnet.synsets(w, pos=getattr(wordnet, POS)):\n",
" base.extend(syn.hyponyms())\n",
" base.append(syn)\n",
" if len(antonyms) > 0:\n",
" for a in antonyms:\n",
" a = a.replace(\" \",\"_\")\n",
" for syn in wordnet.synsets(a, pos=getattr(wordnet, POS)):\n",
" base.extend(syn.hyponyms())\n",
" base.append(syn)\n",
" else:\n",
" for syn in wordnet.synsets(m_word):\n",
" base.extend(syn.hyponyms())\n",
" base.append(syn)\n",
" \n",
" if len(synonyms) > 0:\n",
" for w in synonyms:\n",
" w = w.replace(\" \",\"_\")\n",
" for syn in wordnet.synsets(w):\n",
" base.extend(syn.hyponyms())\n",
" base.append(syn)\n",
" if len(antonyms) > 0:\n",
" for a in antonyms:\n",
" a = a.replace(\" \",\"_\")\n",
" for syn in wordnet.synsets(a):\n",
" base.extend(syn.hyponyms())\n",
" base.append(syn)\n",
" base = list(set(base))\n",
" for b in base:\n",
" cur_words = []\n",
" cur_words.extend([re.sub(\"_\",\" \",lemma.name()) for lemma in b.lemmas()])\n",
" final.extend(cur_words)\n",
"\n",
" \n",
" \n",
" final = list(set(final)) \n",
" return final"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "01c74ce5-8a31-4a28-bb12-655349fee453",
"metadata": {},
"outputs": [],
"source": [
"def eval_pred_test(text, return_all = False):\n",
" '''A basic function for evaluating the prediction from the model and turning it into a visualization friendly number.'''\n",
" preds = pipe(text)\n",
" neg_score = -1 * preds[0][0]['score']\n",
" sent_neg = preds[0][0]['label']\n",
" pos_score = preds[0][1]['score']\n",
" sent_pos = preds[0][1]['label']\n",
" prediction = 0\n",
" sentiment = ''\n",
" if pos_score > abs(neg_score):\n",
" prediction = pos_score\n",
" sentiment = sent_pos\n",
" elif abs(neg_score) > pos_score:\n",
" prediction = neg_score\n",
" sentiment = sent_neg\n",
" \n",
" if return_all:\n",
" return prediction, sentiment\n",
" else:\n",
" return prediction"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "7864d1db-399f-4d23-a036-30da34fe3805",
"metadata": {},
"outputs": [],
"source": [
"def cf_from_wordnet_list(seed,text):\n",
" seed_token = nlp(seed)\n",
" seed_POS = seed_token[0].pos_\n",
" #print(seed_POS)\n",
" words = wordnet_list(seed,seed_POS)\n",
" \n",
" df = pd.DataFrame()\n",
" df[\"Words\"] = words\n",
" df[\"Sentences\"] = df.Words.apply(lambda x: re.sub(r'\\b'+seed+r'\\b',x,text))\n",
" df[\"Similarity\"] = df.Words.apply(lambda x: seed_token[0].similarity(nlp(x)[0]))\n",
" df = df[df.Similarity > 0].reset_index()\n",
" df.drop(\"index\", axis=1, inplace=True)\n",
" df[\"Prediction\"] = df.Sentences.apply(eval_pred_test)\n",
" #added this because I think it will make the end results better if we ensure the seed is in the data we generate counterfactuals from.\n",
" df['Seed'] = df.Words.apply(lambda x: 'Seed' if x.lower() == seed else 'Alternative')\n",
" return df\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "527f037b-79a1-4636-88ba-efd06b9cc20d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'This film was filmed in Iraq.'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"seed = \"film\"\n",
"text = f\"This {seed} was filmed in Iraq.\"\n",
"text"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "dc6b503c-0e7e-438e-8079-14479de4e246",
"metadata": {},
"outputs": [
{
"data": {
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"<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
" <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"50\">I</tspan>\n",
" <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"50\">PRON</tspan>\n",
"</text>\n",
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"<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
" <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"575\">naked</tspan>\n",
" <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"575\">ADJ</tspan>\n",
"</text>\n",
"\n",
"<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
" <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"750\">doctor.</tspan>\n",
" <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"750\">NOUN</tspan>\n",
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" <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
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" </text>\n",
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" <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
" <textPath xlink:href=\"#arrow-68f8788c2a474368a4edd9f184bcd764-0-3\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">dobj</textPath>\n",
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"</g>\n",
"</svg></span>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"test = \"I met a naked doctor.\"\n",
"testdoc = nlp(test)\n",
"displacy.render(testdoc, style=\"dep\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "04509f16-9098-4b67-9fea-3a256d1debe9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'adjectival modifier'"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"spacy.explain(\"amod\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "ebe15fd4-4c1e-4a10-a886-6698620b3b72",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/lx/xt9qnk8569n7xy_d7knh3npr0000gp/T/ipykernel_6702/625873274.py:10: UserWarning: [W008] Evaluating Token.similarity based on empty vectors.\n",
" df[\"Similarity\"] = df.Words.apply(lambda x: seed_token[0].similarity(nlp(x)[0]))\n"
]
}
],
"source": [
"cf_df = cf_from_wordnet_list(seed,text)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "a8d44862-d39d-45e5-a030-49d91e9e0712",
"metadata": {},
"outputs": [
{
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Words</th>\n",
" <th>Sentences</th>\n",
" <th>Similarity</th>\n",
" <th>Prediction</th>\n",
" <th>Seed</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>diorama</td>\n",
" <td>This diorama was filmed in Iraq.</td>\n",
" <td>0.127023</td>\n",
" <td>0.793419</td>\n",
" <td>Alternative</td>\n",
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" <tr>\n",
" <th>1</th>\n",
" <td>longshot</td>\n",
" <td>This longshot was filmed in Iraq.</td>\n",
" <td>0.050408</td>\n",
" <td>-0.991559</td>\n",
" <td>Alternative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>musical comedy</td>\n",
" <td>This musical comedy was filmed in Iraq.</td>\n",
" <td>1.000000</td>\n",
" <td>0.910803</td>\n",
" <td>Alternative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>characterisation</td>\n",
" <td>This characterisation was filmed in Iraq.</td>\n",
" <td>0.216481</td>\n",
" <td>-0.987333</td>\n",
" <td>Alternative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Polaroid</td>\n",
" <td>This Polaroid was filmed in Iraq.</td>\n",
" <td>0.171456</td>\n",
" <td>-0.979913</td>\n",
" <td>Alternative</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Words Sentences Similarity \\\n",
"0 diorama This diorama was filmed in Iraq. 0.127023 \n",
"1 longshot This longshot was filmed in Iraq. 0.050408 \n",
"2 musical comedy This musical comedy was filmed in Iraq. 1.000000 \n",
"3 characterisation This characterisation was filmed in Iraq. 0.216481 \n",
"4 Polaroid This Polaroid was filmed in Iraq. 0.171456 \n",
"\n",
" Prediction Seed \n",
"0 0.793419 Alternative \n",
"1 -0.991559 Alternative \n",
"2 0.910803 Alternative \n",
"3 -0.987333 Alternative \n",
"4 -0.979913 Alternative "
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cf_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "6d133205-08ad-43c8-8140-ece8d5943a7f",
"metadata": {},
"outputs": [],
"source": [
"def max_min(df):\n",
" maximum = df[df.Words != \"girl\"].Similarity.max()\n",
" text3 = df.loc[df['Similarity'] == maximum, 'Words'].iloc[0]\n",
" minimum = df.Similarity.min()\n",
" text2 = df.loc[df['Similarity'] == minimum, 'Words'].iloc[0]\n",
" return text2, text3"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "8311596b-10cf-4915-82f2-5e3e50000436",
"metadata": {},
"outputs": [
{
"data": {
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\"Sentences\": \"This movie house was filmed in Iraq.\", \"Similarity\": 0.5190860033035278, \"Prediction\": -0.9951876401901245, \"Seed\": \"Alternative\"}, {\"Words\": \"movie\", \"Sentences\": \"This movie was filmed in Iraq.\", \"Similarity\": 0.5190860033035278, \"Prediction\": -0.9858505129814148, \"Seed\": \"Alternative\"}, {\"Words\": \"sand painting\", \"Sentences\": \"This sand painting was filmed in Iraq.\", \"Similarity\": 0.1308029294013977, \"Prediction\": -0.9653210639953613, \"Seed\": \"Alternative\"}, {\"Words\": \"motion-picture film\", \"Sentences\": \"This motion-picture film was filmed in Iraq.\", \"Similarity\": 0.1443546861410141, \"Prediction\": -0.9860610961914062, \"Seed\": \"Alternative\"}, {\"Words\": \"foil\", \"Sentences\": \"This foil was filmed in Iraq.\", \"Similarity\": 0.09969713538885117, \"Prediction\": -0.9227285981178284, \"Seed\": \"Alternative\"}, {\"Words\": \"transparency\", \"Sentences\": \"This transparency was filmed in Iraq.\", \"Similarity\": 0.030078565701842308, \"Prediction\": -0.8847953677177429, \"Seed\": \"Alternative\"}, {\"Words\": \"mugshot\", \"Sentences\": \"This mugshot was filmed in Iraq.\", \"Similarity\": 0.3463701009750366, \"Prediction\": -0.9971551895141602, \"Seed\": \"Alternative\"}, {\"Words\": \"semi-abstraction\", \"Sentences\": \"This semi-abstraction was filmed in Iraq.\", \"Similarity\": 0.1051214337348938, \"Prediction\": -0.987169623374939, \"Seed\": \"Alternative\"}, {\"Words\": \"scum\", \"Sentences\": \"This scum was filmed in Iraq.\", \"Similarity\": 0.1664934903383255, \"Prediction\": -0.9993199110031128, \"Seed\": \"Alternative\"}, {\"Words\": \"movie theater\", \"Sentences\": \"This movie theater was filmed in Iraq.\", \"Similarity\": 0.5190860033035278, \"Prediction\": -0.9912400841712952, \"Seed\": \"Alternative\"}, {\"Words\": \"mental picture\", \"Sentences\": \"This mental picture was filmed in Iraq.\", \"Similarity\": 0.22133824229240417, \"Prediction\": 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water-color was filmed in Iraq.\", \"Similarity\": 0.14822277426719666, \"Prediction\": -0.810806155204773, \"Seed\": \"Alternative\"}, {\"Words\": \"soap film\", \"Sentences\": \"This soap film was filmed in Iraq.\", \"Similarity\": 0.1180872768163681, \"Prediction\": -0.9944995641708374, \"Seed\": \"Alternative\"}, {\"Words\": \"stereo\", \"Sentences\": \"This stereo was filmed in Iraq.\", \"Similarity\": 0.12465526163578033, \"Prediction\": -0.9964680671691895, \"Seed\": \"Alternative\"}, {\"Words\": \"blueprint\", \"Sentences\": \"This blueprint was filmed in Iraq.\", \"Similarity\": 0.035823795944452286, \"Prediction\": -0.9900976419448853, \"Seed\": \"Alternative\"}, {\"Words\": \"oil painting\", \"Sentences\": \"This oil painting was filmed in Iraq.\", \"Similarity\": 0.23840351402759552, \"Prediction\": -0.9437991976737976, \"Seed\": \"Alternative\"}, {\"Words\": \"portrait\", \"Sentences\": \"This portrait was filmed in Iraq.\", \"Similarity\": 0.40247201919555664, \"Prediction\": 0.8814621567726135, \"Seed\": \"Alternative\"}, {\"Words\": \"blowup\", \"Sentences\": \"This blowup was filmed in Iraq.\", \"Similarity\": 0.2724970281124115, \"Prediction\": -0.9948825836181641, \"Seed\": \"Alternative\"}, {\"Words\": \"mosaic\", \"Sentences\": \"This mosaic was filmed in Iraq.\", \"Similarity\": 0.2362261712551117, \"Prediction\": 0.5872843861579895, \"Seed\": \"Alternative\"}, {\"Words\": \"portrayal\", \"Sentences\": \"This portrayal was filmed in Iraq.\", \"Similarity\": 0.5100582838058472, \"Prediction\": -0.9788959622383118, \"Seed\": \"Alternative\"}, {\"Words\": \"movie film\", \"Sentences\": \"This movie film was filmed in Iraq.\", \"Similarity\": 0.5190860033035278, \"Prediction\": -0.9835726618766785, \"Seed\": \"Alternative\"}, {\"Words\": \"scene\", \"Sentences\": \"This scene was filmed in Iraq.\", \"Similarity\": 0.4834931790828705, \"Prediction\": -0.9720112681388855, \"Seed\": \"Alternative\"}, {\"Words\": \"slick\", \"Sentences\": \"This slick was filmed in Iraq.\", \"Similarity\": 0.3115971088409424, \"Prediction\": 0.9697098731994629, \"Seed\": \"Alternative\"}, {\"Words\": \"final cut\", \"Sentences\": \"This final cut was filmed in Iraq.\", \"Similarity\": 0.10228517651557922, \"Prediction\": -0.9818063974380493, \"Seed\": \"Alternative\"}, {\"Words\": \"motion picture\", \"Sentences\": \"This motion picture was filmed in Iraq.\", \"Similarity\": 0.1443546861410141, \"Prediction\": -0.9857431054115295, \"Seed\": \"Alternative\"}, {\"Words\": \"closeup\", \"Sentences\": \"This closeup was filmed in Iraq.\", \"Similarity\": 0.19359751045703888, \"Prediction\": -0.876624584197998, \"Seed\": \"Alternative\"}, {\"Words\": \"film clip\", \"Sentences\": \"This film clip was filmed in Iraq.\", \"Similarity\": 1.0, \"Prediction\": -0.9884151220321655, \"Seed\": \"Alternative\"}, {\"Words\": \"time exposure\", \"Sentences\": \"This time exposure was filmed in Iraq.\", \"Similarity\": 0.44395723938941956, \"Prediction\": -0.9667099118232727, \"Seed\": \"Alternative\"}, {\"Words\": \"vignette\", \"Sentences\": \"This vignette was filmed in Iraq.\", \"Similarity\": 0.34389442205429077, \"Prediction\": -0.9709358215332031, \"Seed\": \"Alternative\"}, {\"Words\": \"feature film\", \"Sentences\": \"This feature film was filmed in Iraq.\", \"Similarity\": 0.05084456875920296, \"Prediction\": -0.9292460680007935, \"Seed\": \"Alternative\"}, {\"Words\": \"movie theatre\", \"Sentences\": \"This movie theatre was filmed in Iraq.\", \"Similarity\": 0.5190860033035278, \"Prediction\": -0.9872481226921082, \"Seed\": \"Alternative\"}, {\"Words\": \"picture\", \"Sentences\": \"This picture was filmed in Iraq.\", \"Similarity\": 0.2759341299533844, \"Prediction\": -0.9665979743003845, \"Seed\": \"Alternative\"}, {\"Words\": \"documentary\", \"Sentences\": \"This documentary was filmed in Iraq.\", \"Similarity\": 0.5264785289764404, \"Prediction\": -0.8684387803077698, \"Seed\": \"Alternative\"}, {\"Words\": \"moving picture\", \"Sentences\": \"This moving picture was filmed in Iraq.\", \"Similarity\": 0.21531067788600922, \"Prediction\": 0.9519339799880981, \"Seed\": \"Alternative\"}, {\"Words\": \"inset\", \"Sentences\": \"This inset was filmed in Iraq.\", \"Similarity\": 0.2362261712551117, \"Prediction\": -0.9969562292098999, \"Seed\": \"Alternative\"}, {\"Words\": \"headshot\", \"Sentences\": \"This headshot was filmed in Iraq.\", \"Similarity\": 0.2996450364589691, \"Prediction\": -0.9679704308509827, \"Seed\": \"Alternative\"}, {\"Words\": \"trompe l'oeil\", \"Sentences\": \"This trompe l'oeil was filmed in Iraq.\", \"Similarity\": 0.2362261712551117, \"Prediction\": -0.9688800573348999, \"Seed\": \"Alternative\"}, {\"Words\": \"episode\", \"Sentences\": \"This episode was filmed in Iraq.\", \"Similarity\": 0.5190860033035278, \"Prediction\": -0.9836438298225403, \"Seed\": \"Alternative\"}, {\"Words\": \"moving-picture show\", \"Sentences\": \"This moving-picture show was filmed in Iraq.\", \"Similarity\": 0.21531067788600922, \"Prediction\": -0.8912112712860107, \"Seed\": \"Alternative\"}, {\"Words\": \"home movie\", \"Sentences\": \"This home movie was filmed in Iraq.\", \"Similarity\": 0.03402237966656685, \"Prediction\": -0.9927988052368164, \"Seed\": \"Alternative\"}, {\"Words\": \"cinema\", \"Sentences\": \"This cinema was filmed in Iraq.\", \"Similarity\": 0.21417468786239624, \"Prediction\": -0.9662075042724609, \"Seed\": \"Alternative\"}, {\"Words\": \"3-D\", \"Sentences\": \"This 3-D was filmed in Iraq.\", \"Similarity\": 0.06409786641597748, \"Prediction\": -0.9906445741653442, \"Seed\": \"Alternative\"}, {\"Words\": \"motion-picture show\", \"Sentences\": \"This motion-picture show was filmed in Iraq.\", \"Similarity\": 0.1443546861410141, \"Prediction\": -0.9922996163368225, \"Seed\": \"Alternative\"}, {\"Words\": \"finger-painting\", \"Sentences\": \"This finger-painting was filmed in Iraq.\", \"Similarity\": 0.2568071186542511, \"Prediction\": -0.9805013537406921, \"Seed\": \"Alternative\"}, {\"Words\": \"electronic image\", \"Sentences\": \"This electronic image was filmed in Iraq.\", \"Similarity\": 0.08000266551971436, \"Prediction\": -0.9799883365631104, \"Seed\": \"Alternative\"}, {\"Words\": \"flick\", \"Sentences\": \"This flick was filmed in Iraq.\", \"Similarity\": 0.38000649213790894, \"Prediction\": -0.987636387348175, \"Seed\": \"Alternative\"}, {\"Words\": \"shot\", \"Sentences\": \"This shot was filmed in Iraq.\", \"Similarity\": 0.2095099687576294, \"Prediction\": -0.9753239154815674, \"Seed\": \"Alternative\"}, {\"Words\": \"positive\", \"Sentences\": \"This positive was filmed in Iraq.\", \"Similarity\": 0.17593523859977722, \"Prediction\": 0.9987342953681946, \"Seed\": \"Alternative\"}, {\"Words\": \"pic\", \"Sentences\": \"This pic was filmed in Iraq.\", \"Similarity\": 0.40727975964546204, \"Prediction\": -0.9645436406135559, \"Seed\": \"Alternative\"}, {\"Words\": \"graphic\", \"Sentences\": \"This graphic was filmed in Iraq.\", \"Similarity\": 0.1714564859867096, \"Prediction\": -0.9842573404312134, \"Seed\": \"Alternative\"}, {\"Words\": \"three-D\", \"Sentences\": \"This three-D was filmed in Iraq.\", \"Similarity\": 0.16469082236289978, \"Prediction\": -0.9897969365119934, \"Seed\": \"Alternative\"}, {\"Words\": \"exposure\", \"Sentences\": \"This exposure was filmed in Iraq.\", \"Similarity\": 0.09723522514104843, \"Prediction\": -0.9579629898071289, \"Seed\": \"Alternative\"}, {\"Words\": \"black and white\", \"Sentences\": \"This black and white was filmed in Iraq.\", \"Similarity\": 0.24774447083473206, \"Prediction\": -0.9872296452522278, \"Seed\": \"Alternative\"}, {\"Words\": \"celluloid\", \"Sentences\": \"This celluloid was filmed in Iraq.\", \"Similarity\": 0.19724225997924805, \"Prediction\": -0.9753105640411377, \"Seed\": \"Alternative\"}, {\"Words\": \"skin flick\", \"Sentences\": \"This skin flick was filmed in Iraq.\", \"Similarity\": 0.09620511531829834, \"Prediction\": -0.9778768420219421, \"Seed\": \"Alternative\"}, {\"Words\": \"nude painting\", \"Sentences\": \"This nude painting was filmed in Iraq.\", \"Similarity\": 0.2802892029285431, \"Prediction\": -0.8256915211677551, \"Seed\": \"Alternative\"}, {\"Words\": \"roll\", \"Sentences\": \"This roll was filmed in Iraq.\", \"Similarity\": 0.31563761830329895, \"Prediction\": 0.973349928855896, \"Seed\": \"Alternative\"}, {\"Words\": \"shrink-wrap\", \"Sentences\": \"This shrink-wrap was filmed in Iraq.\", \"Similarity\": 0.00307520036585629, \"Prediction\": -0.9946010112762451, \"Seed\": \"Alternative\"}, {\"Words\": \"short subject\", \"Sentences\": \"This short subject was filmed in Iraq.\", \"Similarity\": 0.37312769889831543, \"Prediction\": -0.9932711720466614, \"Seed\": \"Alternative\"}, {\"Words\": \"iconography\", \"Sentences\": \"This iconography was filmed in Iraq.\", \"Similarity\": 0.40247201919555664, \"Prediction\": -0.7668758034706116, \"Seed\": \"Alternative\"}, {\"Words\": \"silent movie\", \"Sentences\": \"This silent movie was filmed in Iraq.\", \"Similarity\": 0.40748754143714905, \"Prediction\": -0.991932213306427, \"Seed\": \"Alternative\"}, {\"Words\": \"icon\", \"Sentences\": \"This icon was filmed in Iraq.\", \"Similarity\": 0.1714564859867096, \"Prediction\": -0.608573853969574, \"Seed\": \"Alternative\"}, {\"Words\": \"musical theater\", \"Sentences\": \"This musical theater was filmed in Iraq.\", \"Similarity\": 1.0000001192092896, \"Prediction\": -0.9650896787643433, \"Seed\": \"Alternative\"}, {\"Words\": \"rough cut\", \"Sentences\": \"This rough cut was filmed in Iraq.\", \"Similarity\": 0.4482826590538025, \"Prediction\": -0.9980751276016235, \"Seed\": \"Alternative\"}, {\"Words\": \"depiction\", \"Sentences\": \"This depiction was filmed in Iraq.\", \"Similarity\": 0.40247201919555664, \"Prediction\": -0.9799100160598755, \"Seed\": \"Alternative\"}, {\"Words\": \"photograph\", \"Sentences\": \"This photograph was filmed in Iraq.\", \"Similarity\": 0.012723985128104687, \"Prediction\": -0.9196726083755493, \"Seed\": \"Alternative\"}, {\"Words\": \"holograph\", \"Sentences\": \"This holograph was filmed in Iraq.\", \"Similarity\": 0.06945700943470001, \"Prediction\": -0.9831704497337341, \"Seed\": \"Alternative\"}, {\"Words\": \"abstraction\", \"Sentences\": \"This abstraction was filmed in Iraq.\", \"Similarity\": 0.30736246705055237, \"Prediction\": -0.9771453142166138, \"Seed\": \"Alternative\"}, {\"Words\": \"wall painting\", \"Sentences\": \"This wall painting was filmed in Iraq.\", \"Similarity\": 0.041906263679265976, \"Prediction\": -0.9735763072967529, \"Seed\": \"Alternative\"}, {\"Words\": \"characterization\", \"Sentences\": \"This characterization was filmed in Iraq.\", \"Similarity\": 0.24184034764766693, \"Prediction\": -0.9716699123382568, \"Seed\": \"Alternative\"}, {\"Words\": \"silent picture\", \"Sentences\": \"This silent picture was filmed in Iraq.\", \"Similarity\": 0.40748754143714905, \"Prediction\": -0.9895797371864319, \"Seed\": \"Alternative\"}, {\"Words\": \"video\", \"Sentences\": \"This video was filmed in Iraq.\", \"Similarity\": 0.40727975964546204, \"Prediction\": -0.9924373030662537, \"Seed\": \"Alternative\"}, {\"Words\": \"semblance\", \"Sentences\": \"This semblance was filmed in Iraq.\", \"Similarity\": 0.21765615046024323, \"Prediction\": -0.9832487106323242, \"Seed\": \"Alternative\"}, {\"Words\": \"word-painting\", \"Sentences\": \"This word-painting was filmed in Iraq.\", \"Similarity\": 0.7244618535041809, \"Prediction\": -0.985617458820343, \"Seed\": \"Alternative\"}, {\"Words\": \"panorama\", \"Sentences\": \"This panorama was filmed in Iraq.\", \"Similarity\": 0.1714564859867096, \"Prediction\": 0.7383041381835938, \"Seed\": \"Alternative\"}, {\"Words\": \"still\", \"Sentences\": \"This still was filmed in Iraq.\", \"Similarity\": 0.34776031970977783, \"Prediction\": -0.9832385778427124, \"Seed\": \"Alternative\"}, {\"Words\": \"frame\", \"Sentences\": \"This frame was filmed in Iraq.\", \"Similarity\": 0.041906263679265976, \"Prediction\": -0.9474449157714844, \"Seed\": \"Alternative\"}, {\"Words\": \"glossy\", \"Sentences\": \"This glossy was filmed in Iraq.\", \"Similarity\": 0.2362261712551117, \"Prediction\": -0.9883413910865784, \"Seed\": \"Alternative\"}, {\"Words\": \"picture show\", \"Sentences\": \"This picture show was filmed in Iraq.\", \"Similarity\": 0.2759341299533844, \"Prediction\": -0.98580002784729, \"Seed\": \"Alternative\"}, {\"Words\": \"miniature\", \"Sentences\": \"This miniature was filmed in Iraq.\", \"Similarity\": 0.11851898580789566, \"Prediction\": -0.9640893340110779, \"Seed\": \"Alternative\"}, {\"Words\": \"sequence\", \"Sentences\": \"This sequence was filmed in Iraq.\", \"Similarity\": 0.09885364025831223, \"Prediction\": -0.9735088348388672, \"Seed\": \"Alternative\"}, {\"Words\": \"docudrama\", \"Sentences\": \"This docudrama was filmed in Iraq.\", \"Similarity\": 0.16827510297298431, \"Prediction\": -0.966823935508728, \"Seed\": \"Alternative\"}, {\"Words\": \"snapshot\", \"Sentences\": \"This snapshot was filmed in Iraq.\", \"Similarity\": 0.30126306414604187, \"Prediction\": 0.5775587558746338, \"Seed\": \"Alternative\"}, {\"Words\": \"photo\", \"Sentences\": \"This photo was filmed in Iraq.\", \"Similarity\": 0.1714564859867096, \"Prediction\": -0.9606395363807678, \"Seed\": \"Alternative\"}, {\"Words\": \"cheesecake\", \"Sentences\": \"This cheesecake was filmed in Iraq.\", \"Similarity\": 0.1623053401708603, \"Prediction\": -0.9901886582374573, \"Seed\": \"Alternative\"}, {\"Words\": \"word picture\", \"Sentences\": \"This word picture was filmed in Iraq.\", \"Similarity\": 0.7244618535041809, \"Prediction\": -0.989831805229187, \"Seed\": \"Alternative\"}, {\"Words\": \"film\", \"Sentences\": \"This film was filmed in Iraq.\", \"Similarity\": 1.0, \"Prediction\": -0.9768388867378235, \"Seed\": \"Seed\"}, {\"Words\": \"delineation\", \"Sentences\": \"This delineation was filmed in Iraq.\", \"Similarity\": 0.21648120880126953, \"Prediction\": -0.98895663022995, \"Seed\": \"Alternative\"}, {\"Words\": \"infotainment\", \"Sentences\": \"This infotainment was filmed in Iraq.\", \"Similarity\": 0.17096103727817535, \"Prediction\": -0.9834266901016235, \"Seed\": \"Alternative\"}, {\"Words\": \"painting\", \"Sentences\": \"This painting was filmed in Iraq.\", \"Similarity\": 0.012723985128104687, \"Prediction\": -0.9334386587142944, \"Seed\": \"Alternative\"}, {\"Words\": \"wedding picture\", \"Sentences\": \"This wedding picture was filmed in Iraq.\", \"Similarity\": 0.005098994355648756, \"Prediction\": -0.8731076717376709, \"Seed\": \"Alternative\"}, {\"Words\": \"mural\", \"Sentences\": \"This mural was filmed in Iraq.\", \"Similarity\": 0.40247201919555664, \"Prediction\": -0.9562681317329407, \"Seed\": \"Alternative\"}, {\"Words\": \"negative\", \"Sentences\": \"This negative was filmed in Iraq.\", \"Similarity\": 0.17593523859977722, \"Prediction\": -0.999600350856781, \"Seed\": \"Alternative\"}, {\"Words\": \"snap\", \"Sentences\": \"This snap was filmed in Iraq.\", \"Similarity\": 0.31563761830329895, \"Prediction\": -0.5398570895195007, \"Seed\": \"Alternative\"}, {\"Words\": \"reel\", \"Sentences\": \"This reel was filmed in Iraq.\", \"Similarity\": 0.1602938026189804, \"Prediction\": -0.9851198792457581, \"Seed\": \"Alternative\"}, {\"Words\": \"beefcake\", \"Sentences\": \"This beefcake was filmed in Iraq.\", \"Similarity\": 0.01305882167071104, \"Prediction\": -0.9892358183860779, \"Seed\": \"Alternative\"}, {\"Words\": \"slow motion\", \"Sentences\": \"This slow motion was filmed in Iraq.\", \"Similarity\": 0.21531067788600922, \"Prediction\": -0.9976890087127686, \"Seed\": \"Alternative\"}, {\"Words\": \"mug shot\", \"Sentences\": \"This mug shot was filmed in Iraq.\", \"Similarity\": 0.013170549646019936, \"Prediction\": -0.996273398399353, \"Seed\": \"Alternative\"}, {\"Words\": \"montage\", \"Sentences\": \"This montage was filmed in Iraq.\", \"Similarity\": 0.34389442205429077, \"Prediction\": -0.9799322485923767, \"Seed\": \"Alternative\"}, {\"Words\": \"water-colour\", \"Sentences\": \"This water-colour was filmed in Iraq.\", \"Similarity\": 0.14822277426719666, \"Prediction\": -0.92180335521698, \"Seed\": \"Alternative\"}, {\"Words\": \"hologram\", \"Sentences\": \"This hologram was filmed in Iraq.\", \"Similarity\": 0.0295212734490633, \"Prediction\": -0.9898383617401123, \"Seed\": \"Alternative\"}, {\"Words\": \"cinema verite\", \"Sentences\": \"This cinema verite was filmed in Iraq.\", \"Similarity\": 0.21417468786239624, \"Prediction\": -0.9682841897010803, \"Seed\": \"Alternative\"}, {\"Words\": \"illumination\", \"Sentences\": \"This illumination was filmed in Iraq.\", \"Similarity\": 0.041906263679265976, \"Prediction\": -0.9306833148002625, \"Seed\": \"Alternative\"}, {\"Words\": \"still life\", \"Sentences\": \"This still life was filmed in Iraq.\", \"Similarity\": 0.34776031970977783, \"Prediction\": -0.9527766704559326, \"Seed\": \"Alternative\"}, {\"Words\": \"silver screen\", \"Sentences\": \"This silver screen was filmed in Iraq.\", \"Similarity\": 0.02718006633222103, \"Prediction\": 0.9841983318328857, \"Seed\": \"Alternative\"}, {\"Words\": \"likeness\", \"Sentences\": \"This likeness was filmed in Iraq.\", \"Similarity\": 0.40247201919555664, \"Prediction\": -0.9791960716247559, \"Seed\": \"Alternative\"}, {\"Words\": \"feature\", \"Sentences\": \"This feature was filmed in Iraq.\", \"Similarity\": 0.05084456875920296, \"Prediction\": -0.9048511385917664, \"Seed\": \"Alternative\"}, {\"Words\": \"picture palace\", \"Sentences\": \"This picture palace was filmed in Iraq.\", \"Similarity\": 0.2759341299533844, \"Prediction\": -0.9499115347862244, \"Seed\": \"Alternative\"}, {\"Words\": \"coming attraction\", \"Sentences\": \"This coming attraction was filmed in Iraq.\", \"Similarity\": 0.34776031970977783, \"Prediction\": 0.9921624064445496, \"Seed\": \"Alternative\"}, {\"Words\": \"roll film\", \"Sentences\": \"This roll film was filmed in Iraq.\", \"Similarity\": 0.31563761830329895, \"Prediction\": 0.9974084496498108, \"Seed\": \"Alternative\"}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"single_nearest = alt.selection_single(on='mouseover', nearest=True)\n",
"full = alt.Chart(cf_df).encode(\n",
" alt.X('Similarity:Q'), # specify nominal data\n",
" alt.Y('Prediction:Q'), # specify quantitative data\n",
" color=alt.Color('Seed:N', legend=alt.Legend(title=\"Seed or Alternative\")),\n",
" size='Seed:N',\n",
" tooltip=('Words','Prediction','Similarity')\n",
").mark_circle(opacity=.5).properties(width=300).add_selection(single_nearest)\n",
"\n",
"full"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "1898eb99-22fc-4c6f-b918-1f972c4edb9b",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<div id=\"altair-viz-c87bf2d2078345419472ddcf35b31915\"></div>\n",
"<script type=\"text/javascript\">\n",
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" (function(spec, embedOpt){\n",
" let outputDiv = document.currentScript.previousElementSibling;\n",
" if (outputDiv.id !== \"altair-viz-c87bf2d2078345419472ddcf35b31915\") {\n",
" outputDiv = document.getElementById(\"altair-viz-c87bf2d2078345419472ddcf35b31915\");\n",
" }\n",
" const paths = {\n",
" \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
" };\n",
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" function maybeLoadScript(lib, version) {\n",
" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
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" s.src = paths[lib];\n",
" });\n",
" }\n",
"\n",
" function showError(err) {\n",
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
" throw err;\n",
" }\n",
"\n",
" function displayChart(vegaEmbed) {\n",
" vegaEmbed(outputDiv, spec, embedOpt)\n",
" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
" }\n",
"\n",
" if(typeof define === \"function\" && define.amd) {\n",
" requirejs.config({paths});\n",
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
" } else {\n",
" maybeLoadScript(\"vega\", \"5\")\n",
" .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
" .catch(showError)\n",
" .then(() => displayChart(vegaEmbed));\n",
" }\n",
" })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-c239d80ec7b6eaea314c3340cfa6439b\"}, \"mark\": \"circle\", \"encoding\": {\"color\": {\"field\": \"Seed\", \"legend\": {\"title\": \"Seed or Alternative\"}, \"type\": \"nominal\"}, \"size\": {\"field\": \"Seed\", \"type\": \"nominal\"}, \"tooltip\": [{\"field\": \"Words\", \"type\": \"nominal\"}, {\"field\": \"Prediction\", \"type\": \"quantitative\"}, {\"field\": \"Similarity\", \"type\": \"quantitative\"}], \"x\": {\"field\": \"Prediction\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"Words\", \"sort\": \"-x\", \"type\": \"nominal\"}}, \"selection\": {\"selector001\": {\"type\": \"single\", \"on\": \"mouseover\", \"nearest\": true}}, \"width\": 300, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-c239d80ec7b6eaea314c3340cfa6439b\": [{\"Words\": \"positive\", \"Sentences\": \"This positive was filmed in Iraq.\", \"Similarity\": 0.17593523859977722, \"Prediction\": 0.9987342953681946, \"Seed\": \"Alternative\"}, {\"Words\": \"roll film\", \"Sentences\": \"This roll film was filmed in Iraq.\", \"Similarity\": 0.31563761830329895, \"Prediction\": 0.9974084496498108, \"Seed\": \"Alternative\"}, {\"Words\": \"coming attraction\", \"Sentences\": \"This coming attraction was filmed in Iraq.\", \"Similarity\": 0.34776031970977783, \"Prediction\": 0.9921624064445496, \"Seed\": \"Alternative\"}, {\"Words\": \"silver screen\", \"Sentences\": \"This silver screen was filmed in Iraq.\", \"Similarity\": 0.02718006633222103, \"Prediction\": 0.9841983318328857, \"Seed\": \"Alternative\"}, {\"Words\": \"roll\", \"Sentences\": \"This roll was filmed in Iraq.\", \"Similarity\": 0.31563761830329895, \"Prediction\": 0.973349928855896, \"Seed\": \"Alternative\"}, {\"Words\": \"negative\", \"Sentences\": \"This negative was filmed in Iraq.\", \"Similarity\": 0.17593523859977722, \"Prediction\": -0.999600350856781, \"Seed\": \"Alternative\"}, {\"Words\": \"distemper\", \"Sentences\": \"This distemper was filmed in Iraq.\", \"Similarity\": 0.01713787391781807, \"Prediction\": -0.9993439316749573, \"Seed\": \"Alternative\"}, {\"Words\": \"scum\", \"Sentences\": \"This scum was filmed in Iraq.\", \"Similarity\": 0.1664934903383255, \"Prediction\": -0.9993199110031128, \"Seed\": \"Alternative\"}, {\"Words\": \"rough cut\", \"Sentences\": \"This rough cut was filmed in Iraq.\", \"Similarity\": 0.4482826590538025, \"Prediction\": -0.9980751276016235, \"Seed\": \"Alternative\"}, {\"Words\": \"slow motion\", \"Sentences\": \"This slow motion was filmed in Iraq.\", \"Similarity\": 0.21531067788600922, \"Prediction\": -0.9976890087127686, \"Seed\": \"Alternative\"}, {\"Words\": \"film\", \"Sentences\": \"This film was filmed in Iraq.\", \"Similarity\": 1.0, \"Prediction\": -0.9768388867378235, \"Seed\": \"Seed\"}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df2 = cf_df.nlargest(5, 'Prediction')\n",
"df3 = cf_df.nsmallest(5, 'Prediction')\n",
"df4 = cf_df[cf_df.Seed == \"Seed\"]\n",
"frames = [df2,df3,df4]\n",
"results = pd.concat(frames)\n",
"\n",
"bar = alt.Chart(results).encode( \n",
" alt.X('Prediction:Q'), \n",
" alt.Y('Words:N', sort=\"-x\"),\n",
" color=alt.Color('Seed:N', legend=alt.Legend(title=\"Seed or Alternative\")),\n",
" size='Seed:N',\n",
" tooltip=('Words','Prediction','Similarity')\n",
").mark_circle().properties(width=300).add_selection(single_nearest)\n",
"\n",
"bar"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "52a4fcfa-80d9-456e-a474-8192ac1c02e8",
"metadata": {},
"outputs": [],
"source": [
"# Builds a list dynamically from WordNet using NLTK.\n",
"def wordnet_df(word,POS=False):\n",
" pos_options = ['NOUN','VERB','ADJ','ADV']\n",
" synonyms, antonyms = syn_ant(word,POS,False)\n",
" words = []\n",
" cats = []\n",
" #WordNet hates spaces so you have to remove them\n",
" m_word = word.replace(\" \", \"_\")\n",
" \n",
" if POS in pos_options:\n",
" for syn in wordnet.synsets(m_word, pos=getattr(wordnet, POS)):\n",
" cur_lemmas = syn.lemmas()\n",
" hypos = syn.hyponyms()\n",
" for hypo in hypos:\n",
" cur_lemmas.extend(hypo.lemmas())\n",
" for lemma in cur_lemmas:\n",
" ll = lemma.name()\n",
" cats.append(re.sub(\"_\",\" \", syn.name().split(\".\")[0]))\n",
" words.append(re.sub(\"_\",\" \",ll))\n",
" \n",
" if len(synonyms) > 0:\n",
" for w in synonyms:\n",
" w = w.replace(\" \",\"_\")\n",
" for syn in wordnet.synsets(w, pos=getattr(wordnet, POS)):\n",
" cur_lemmas = syn.lemmas()\n",
" hypos = syn.hyponyms()\n",
" for hypo in hypos:\n",
" cur_lemmas.extend(hypo.lemmas())\n",
" for lemma in cur_lemmas:\n",
" ll = lemma.name()\n",
" cats.append(re.sub(\"_\",\" \", syn.name().split(\".\")[0]))\n",
" words.append(re.sub(\"_\",\" \",ll))\n",
" if len(antonyms) > 0:\n",
" for a in antonyms:\n",
" a = a.replace(\" \",\"_\")\n",
" for syn in wordnet.synsets(a, pos=getattr(wordnet, POS)):\n",
" cur_lemmas = syn.lemmas()\n",
" hypos = syn.hyponyms()\n",
" for hypo in hypos:\n",
" cur_lemmas.extend(hypo.lemmas())\n",
" for lemma in cur_lemmas:\n",
" ll = lemma.name()\n",
" cats.append(re.sub(\"_\",\" \", syn.name().split(\".\")[0]))\n",
" words.append(re.sub(\"_\",\" \",ll))\n",
" else:\n",
" for syn in wordnet.synsets(m_word):\n",
" cur_lemmas = syn.lemmas()\n",
" hypos = syn.hyponyms()\n",
" for hypo in hypos:\n",
" cur_lemmas.extend(hypo.lemmas())\n",
" for lemma in cur_lemmas:\n",
" ll = lemma.name()\n",
" cats.append(re.sub(\"_\",\" \", syn.name().split(\".\")[0]))\n",
" words.append(re.sub(\"_\",\" \",ll))\n",
" \n",
" if len(synonyms) > 0:\n",
" for w in synonyms:\n",
" w = w.replace(\" \",\"_\")\n",
" for syn in wordnet.synsets(w):\n",
" cur_lemmas = syn.lemmas()\n",
" hypos = syn.hyponyms()\n",
" for hypo in hypos:\n",
" cur_lemmas.extend(hypo.lemmas())\n",
" for lemma in cur_lemmas:\n",
" ll = lemma.name()\n",
" cats.append(re.sub(\"_\",\" \", syn.name().split(\".\")[0]))\n",
" words.append(re.sub(\"_\",\" \",ll))\n",
" if len(antonyms) > 0:\n",
" for a in antonyms:\n",
" a = a.replace(\" \",\"_\")\n",
" for syn in wordnet.synsets(a):\n",
" cur_lemmas = syn.lemmas()\n",
" hypos = syn.hyponyms()\n",
" for hypo in hypos:\n",
" cur_lemmas.extend(hypo.lemmas())\n",
" for lemma in cur_lemmas:\n",
" ll = lemma.name()\n",
" cats.append(re.sub(\"_\",\" \", syn.name().split(\".\")[0]))\n",
" words.append(re.sub(\"_\",\" \",ll))\n",
"\n",
" df = {\"Categories\":cats, \"Words\":words}\n",
" df = pd.DataFrame(df) \n",
" df = df.drop_duplicates().reset_index()\n",
" df = df.drop(\"index\", axis=1)\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "8a61922c-09f8-4a2b-8317-36783016fc2a",
"metadata": {},
"outputs": [],
"source": [
"def cf_from_wordnet_df(seed,text):\n",
" seed_token = nlp(seed)\n",
" seed_POS = seed_token[0].pos_\n",
" print(seed_POS)\n",
" df = wordnet_df(seed,seed_POS)\n",
" \n",
" df[\"Sentences\"] = df.Words.apply(lambda x: re.sub(r'\\b'+seed+r'\\b',x,text))\n",
" df[\"Word Similarity\"] = df.Words.apply(lambda x: seed_token.similarity(nlp(x)))\n",
" df = df[df[\"Word Similarity\"] > 0].reset_index()\n",
" df.drop(\"index\", axis=1, inplace=True)\n",
" df[\"Prediction\"] = df.Sentences.apply(eval_pred_test)\n",
" #added this because I think it will make the end results better if we ensure the seed is in the data we generate counterfactuals from.\n",
" df['Seed'] = df.Words.apply(lambda x: 'Seed' if x.lower() == seed else 'Alternative')\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "ebeafe57-44e2-4ae2-bdab-f16050efc4f1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"NOUN\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/lx/xt9qnk8569n7xy_d7knh3npr0000gp/T/ipykernel_6702/2903488048.py:8: UserWarning: [W008] Evaluating Doc.similarity based on empty vectors.\n",
" df[\"Word Similarity\"] = df.Words.apply(lambda x: seed_token.similarity(nlp(x)))\n"
]
}
],
"source": [
"panic = cf_from_wordnet_df(seed,text)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "c534bbab-7d5d-4695-8ab0-948ff88463de",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Categories</th>\n",
" <th>Words</th>\n",
" <th>Sentences</th>\n",
" <th>Word Similarity</th>\n",
" <th>Prediction</th>\n",
" <th>Seed</th>\n",
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" <th>0</th>\n",
" <td>movie</td>\n",
" <td>movie</td>\n",
" <td>This movie was filmed in Iraq.</td>\n",
" <td>0.519086</td>\n",
" <td>-0.985851</td>\n",
" <td>Alternative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>movie</td>\n",
" <td>film</td>\n",
" <td>This film was filmed in Iraq.</td>\n",
" <td>1.000000</td>\n",
" <td>-0.976839</td>\n",
" <td>Seed</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>movie</td>\n",
" <td>picture</td>\n",
" <td>This picture was filmed in Iraq.</td>\n",
" <td>0.275934</td>\n",
" <td>-0.966598</td>\n",
" <td>Alternative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>movie</td>\n",
" <td>moving picture</td>\n",
" <td>This moving picture was filmed in Iraq.</td>\n",
" <td>0.317025</td>\n",
" <td>0.951934</td>\n",
" <td>Alternative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>movie</td>\n",
" <td>moving-picture show</td>\n",
" <td>This moving-picture show was filmed in Iraq.</td>\n",
" <td>0.438731</td>\n",
" <td>-0.891211</td>\n",
" <td>Alternative</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Categories Words \\\n",
"0 movie movie \n",
"1 movie film \n",
"2 movie picture \n",
"3 movie moving picture \n",
"4 movie moving-picture show \n",
"\n",
" Sentences Word Similarity Prediction \\\n",
"0 This movie was filmed in Iraq. 0.519086 -0.985851 \n",
"1 This film was filmed in Iraq. 1.000000 -0.976839 \n",
"2 This picture was filmed in Iraq. 0.275934 -0.966598 \n",
"3 This moving picture was filmed in Iraq. 0.317025 0.951934 \n",
"4 This moving-picture show was filmed in Iraq. 0.438731 -0.891211 \n",
"\n",
" Seed \n",
"0 Alternative \n",
"1 Seed \n",
"2 Alternative \n",
"3 Alternative \n",
"4 Alternative "
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"panic.head()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "ea7ad4f3-98d0-4760-9bae-e94210886f08",
"metadata": {},
"outputs": [
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cheesecake was filmed in Iraq.\", \"Word Similarity\": 0.16230533878952264, \"Prediction\": -0.9901886582374573, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"closeup\", \"Sentences\": \"This closeup was filmed in Iraq.\", \"Word Similarity\": 0.19359751435654632, \"Prediction\": -0.876624584197998, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"blowup\", \"Sentences\": \"This blowup was filmed in Iraq.\", \"Word Similarity\": 0.2724970094314425, \"Prediction\": -0.9948825836181641, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"frame\", \"Sentences\": \"This frame was filmed in Iraq.\", \"Word Similarity\": 0.04190626366991173, \"Prediction\": -0.9474449157714844, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"glossy\", \"Sentences\": \"This glossy was filmed in Iraq.\", \"Word Similarity\": 0.236226161028214, \"Prediction\": -0.9883413910865784, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"headshot\", \"Sentences\": \"This headshot was filmed in Iraq.\", \"Word Similarity\": 0.29964503290316746, \"Prediction\": -0.9679704308509827, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"hologram\", \"Sentences\": \"This hologram was filmed in Iraq.\", \"Word Similarity\": 0.029521275159483634, \"Prediction\": -0.9898383617401123, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"holograph\", \"Sentences\": \"This holograph was filmed in Iraq.\", \"Word Similarity\": 0.06945700837472585, \"Prediction\": -0.9831704497337341, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"longshot\", \"Sentences\": \"This longshot was filmed in Iraq.\", \"Word Similarity\": 0.05040800370574034, \"Prediction\": -0.9915591478347778, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"mosaic\", \"Sentences\": \"This mosaic was filmed in Iraq.\", \"Word Similarity\": 0.236226161028214, \"Prediction\": 0.5872843861579895, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"arial mosaic\", \"Sentences\": \"This arial mosaic was filmed in Iraq.\", \"Word Similarity\": 0.05364197538265368, \"Prediction\": -0.8865885138511658, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"mug shot\", \"Sentences\": \"This mug shot was filmed in Iraq.\", \"Word Similarity\": 0.1640604740819903, \"Prediction\": -0.996273398399353, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"mugshot\", \"Sentences\": \"This mugshot was filmed in Iraq.\", \"Word Similarity\": 0.3463700881243038, \"Prediction\": -0.9971551895141602, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"photographic print\", \"Sentences\": \"This photographic print was filmed in Iraq.\", \"Word Similarity\": 0.04118213760816905, \"Prediction\": -0.9862127304077148, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"print\", \"Sentences\": \"This print was filmed in Iraq.\", \"Word Similarity\": 0.09969713735711155, \"Prediction\": -0.9955253005027771, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"scene\", \"Sentences\": \"This scene was filmed in Iraq.\", \"Word Similarity\": 0.48349320690687697, \"Prediction\": -0.9720112681388855, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"shot\", \"Sentences\": \"This shot was filmed in Iraq.\", \"Word Similarity\": 0.20950996604464142, \"Prediction\": -0.9753239154815674, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"snapshot\", \"Sentences\": \"This snapshot was filmed in Iraq.\", \"Word Similarity\": 0.30126304553472416, \"Prediction\": 0.5775587558746338, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"snap\", \"Sentences\": \"This snap was filmed in Iraq.\", \"Word Similarity\": 0.31563761641102356, \"Prediction\": -0.5398570895195007, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"stereo\", \"Sentences\": \"This stereo was filmed in Iraq.\", \"Word Similarity\": 0.12465525914475722, \"Prediction\": -0.9964680671691895, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"stereoscopic picture\", \"Sentences\": \"This stereoscopic picture was filmed in Iraq.\", \"Word Similarity\": 0.15109067888254674, \"Prediction\": -0.9568785429000854, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"still\", \"Sentences\": \"This still was filmed in Iraq.\", \"Word Similarity\": 0.347760352345329, \"Prediction\": -0.9832385778427124, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"time exposure\", \"Sentences\": \"This time exposure was filmed in Iraq.\", \"Word Similarity\": 0.2971918201731859, \"Prediction\": -0.9667099118232727, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"vignette\", \"Sentences\": \"This vignette was filmed in Iraq.\", \"Word Similarity\": 0.3438944285259018, \"Prediction\": -0.9709358215332031, \"Seed\": \"Alternative\"}, {\"Categories\": \"photograph\", \"Words\": \"wedding picture\", \"Sentences\": \"This wedding picture was filmed in Iraq.\", \"Word Similarity\": 0.1669571658658145, \"Prediction\": -0.8731076717376709, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"picture\", \"Sentences\": \"This picture was filmed in Iraq.\", \"Word Similarity\": 0.2759341200434225, \"Prediction\": -0.9665979743003845, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"icon\", \"Sentences\": \"This icon was filmed in Iraq.\", \"Word Similarity\": 0.17145648267172575, \"Prediction\": -0.608573853969574, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"electronic image\", \"Sentences\": \"This electronic image was filmed in Iraq.\", \"Word Similarity\": 0.026310571482819744, \"Prediction\": -0.9799883365631104, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"collage\", \"Sentences\": \"This collage was filmed in Iraq.\", \"Word Similarity\": 0.17145648267172575, \"Prediction\": -0.9813950657844543, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"montage\", \"Sentences\": \"This montage was filmed in Iraq.\", \"Word Similarity\": 0.3438944285259018, \"Prediction\": -0.9799322485923767, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"foil\", \"Sentences\": \"This foil was filmed in Iraq.\", \"Word Similarity\": 0.09969713735711155, \"Prediction\": -0.9227285981178284, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"transparency\", \"Sentences\": \"This transparency was filmed in Iraq.\", \"Word Similarity\": 0.030078566735325406, \"Prediction\": -0.8847953677177429, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"graphic\", \"Sentences\": \"This graphic was filmed in Iraq.\", \"Word Similarity\": 0.17145648267172575, \"Prediction\": -0.9842573404312134, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"computer graphic\", \"Sentences\": \"This computer graphic was filmed in Iraq.\", \"Word Similarity\": 0.09000361323663436, \"Prediction\": -0.9926844835281372, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"iconography\", \"Sentences\": \"This iconography was filmed in Iraq.\", \"Word Similarity\": 0.40247201053246207, \"Prediction\": -0.7668758034706116, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"inset\", \"Sentences\": \"This inset was filmed in Iraq.\", \"Word Similarity\": 0.236226161028214, \"Prediction\": -0.9969562292098999, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"likeness\", \"Sentences\": \"This likeness was filmed in Iraq.\", \"Word Similarity\": 0.40247201053246207, \"Prediction\": -0.9791960716247559, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"semblance\", \"Sentences\": \"This semblance was filmed in Iraq.\", \"Word Similarity\": 0.21765614174366776, \"Prediction\": -0.9832487106323242, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"panorama\", \"Sentences\": \"This panorama was filmed in Iraq.\", \"Word Similarity\": 0.17145648267172575, \"Prediction\": 0.7383041381835938, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"diorama\", \"Sentences\": \"This diorama was filmed in Iraq.\", \"Word Similarity\": 0.127023308869183, \"Prediction\": 0.7934190630912781, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"reflection\", \"Sentences\": \"This reflection was filmed in Iraq.\", \"Word Similarity\": 0.18078071596917625, \"Prediction\": -0.6845596432685852, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"scan\", \"Sentences\": \"This scan was filmed in Iraq.\", \"Word Similarity\": 0.10371564135820871, \"Prediction\": -0.9957475066184998, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"CAT scan\", \"Sentences\": \"This CAT scan was filmed in Iraq.\", \"Word Similarity\": 0.19331544765072045, \"Prediction\": -0.9924741387367249, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"painting\", \"Sentences\": \"This painting was filmed in Iraq.\", \"Word Similarity\": 0.012723984321047776, \"Prediction\": -0.9334386587142944, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"picture\", \"Sentences\": \"This picture was filmed in Iraq.\", \"Word Similarity\": 0.2759341200434225, \"Prediction\": -0.9665979743003845, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"abstraction\", \"Sentences\": \"This abstraction was filmed in Iraq.\", \"Word Similarity\": 0.307362457132976, \"Prediction\": -0.9771453142166138, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"cityscape\", \"Sentences\": \"This cityscape was filmed in Iraq.\", \"Word Similarity\": 0.40247201053246207, \"Prediction\": -0.9577135443687439, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"daub\", \"Sentences\": \"This daub was filmed in Iraq.\", \"Word Similarity\": 0.14788114427051885, \"Prediction\": -0.996572732925415, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"distemper\", \"Sentences\": \"This distemper was filmed in Iraq.\", \"Word Similarity\": 0.01713787402732078, \"Prediction\": -0.9993439316749573, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"finger-painting\", \"Sentences\": \"This finger-painting was filmed in Iraq.\", \"Word Similarity\": 0.17009456557266658, \"Prediction\": -0.9805013537406921, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"icon\", \"Sentences\": \"This icon was filmed in Iraq.\", \"Word Similarity\": 0.17145648267172575, \"Prediction\": -0.608573853969574, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"landscape\", \"Sentences\": \"This landscape was filmed in Iraq.\", \"Word Similarity\": 0.058922973867911566, \"Prediction\": 0.6257414221763611, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"miniature\", \"Sentences\": \"This miniature was filmed in Iraq.\", \"Word Similarity\": 0.11851899449835313, \"Prediction\": -0.9640893340110779, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"illumination\", \"Sentences\": \"This illumination was filmed in Iraq.\", \"Word Similarity\": 0.04190626366991173, \"Prediction\": -0.9306833148002625, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"mural\", \"Sentences\": \"This mural was filmed in Iraq.\", \"Word Similarity\": 0.40247201053246207, \"Prediction\": -0.9562681317329407, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"wall painting\", \"Sentences\": \"This wall painting was filmed in Iraq.\", \"Word Similarity\": 0.035987748374169425, \"Prediction\": -0.9735763072967529, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"nude\", \"Sentences\": \"This nude was filmed in Iraq.\", \"Word Similarity\": 0.2802892192361027, \"Prediction\": -0.8499994277954102, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"nude painting\", \"Sentences\": \"This nude painting was filmed in Iraq.\", \"Word Similarity\": 0.2078872194858697, \"Prediction\": -0.8256915211677551, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"oil painting\", \"Sentences\": \"This oil painting was filmed in Iraq.\", \"Word Similarity\": 0.1681611680585539, \"Prediction\": -0.9437991976737976, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"sand painting\", \"Sentences\": \"This sand painting was filmed in Iraq.\", \"Word Similarity\": 0.09351431334138006, \"Prediction\": -0.9653210639953613, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"semi-abstraction\", \"Sentences\": \"This semi-abstraction was filmed in Iraq.\", \"Word Similarity\": 0.2372533752044437, \"Prediction\": -0.987169623374939, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"still life\", \"Sentences\": \"This still life was filmed in Iraq.\", \"Word Similarity\": 0.34429948494573387, \"Prediction\": -0.9527766704559326, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"trompe l'oeil\", \"Sentences\": \"This trompe l'oeil was filmed in Iraq.\", \"Word Similarity\": 0.236226161028214, \"Prediction\": -0.9688800573348999, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"water-color\", \"Sentences\": \"This water-color was filmed in Iraq.\", \"Word Similarity\": 0.05993146524985539, \"Prediction\": -0.810806155204773, \"Seed\": \"Alternative\"}, {\"Categories\": \"painting\", \"Words\": \"water-colour\", \"Sentences\": \"This water-colour was filmed in Iraq.\", \"Word Similarity\": 0.05993146524985539, \"Prediction\": -0.92180335521698, \"Seed\": \"Alternative\"}, {\"Categories\": \"mental picture\", \"Words\": \"mental picture\", \"Sentences\": \"This mental picture was filmed in Iraq.\", \"Word Similarity\": 0.31825090248363247, \"Prediction\": -0.9934840798377991, \"Seed\": \"Alternative\"}, {\"Categories\": \"mental picture\", \"Words\": \"picture\", \"Sentences\": \"This picture was filmed in Iraq.\", \"Word Similarity\": 0.2759341200434225, \"Prediction\": -0.9665979743003845, \"Seed\": \"Alternative\"}, {\"Categories\": \"mental picture\", \"Words\": \"impression\", \"Sentences\": \"This impression was filmed in Iraq.\", \"Word Similarity\": 0.18283532501150543, \"Prediction\": -0.8515572547912598, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"scene\", \"Sentences\": \"This scene was filmed in Iraq.\", \"Word Similarity\": 0.48349320690687697, \"Prediction\": -0.9720112681388855, \"Seed\": \"Alternative\"}, {\"Categories\": \"picture\", \"Words\": \"pictorial matter\", \"Sentences\": \"This pictorial matter was filmed in Iraq.\", \"Word Similarity\": 0.1824789976024603, \"Prediction\": -0.5508358478546143, \"Seed\": \"Alternative\"}, {\"Categories\": \"video\", \"Words\": \"video\", \"Sentences\": \"This video was filmed in Iraq.\", \"Word Similarity\": 0.4072797635418109, \"Prediction\": -0.9924373030662537, \"Seed\": \"Alternative\"}, {\"Categories\": \"video\", \"Words\": \"picture\", \"Sentences\": \"This picture was filmed in Iraq.\", \"Word Similarity\": 0.2759341200434225, \"Prediction\": -0.9665979743003845, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"word picture\", \"Sentences\": \"This word picture was filmed in Iraq.\", \"Word Similarity\": 0.5981027679972372, \"Prediction\": -0.989831805229187, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"word-painting\", \"Sentences\": \"This word-painting was filmed in Iraq.\", \"Word Similarity\": 0.38706227560895623, \"Prediction\": -0.985617458820343, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"delineation\", \"Sentences\": \"This delineation was filmed in Iraq.\", \"Word Similarity\": 0.21648120725304634, \"Prediction\": -0.98895663022995, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"depiction\", \"Sentences\": \"This depiction was filmed in Iraq.\", \"Word Similarity\": 0.40247201053246207, \"Prediction\": -0.9799100160598755, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"picture\", \"Sentences\": \"This picture was filmed in Iraq.\", \"Word Similarity\": 0.2759341200434225, \"Prediction\": -0.9665979743003845, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"characterization\", \"Sentences\": \"This characterization was filmed in Iraq.\", \"Word Similarity\": 0.2418403365927032, \"Prediction\": -0.9716699123382568, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"characterisation\", \"Sentences\": \"This characterisation was filmed in Iraq.\", \"Word Similarity\": 0.21648120725304634, \"Prediction\": -0.9873332977294922, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"epithet\", \"Sentences\": \"This epithet was filmed in Iraq.\", \"Word Similarity\": 0.15113958883109133, \"Prediction\": -0.9895598888397217, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"portrayal\", \"Sentences\": \"This portrayal was filmed in Iraq.\", \"Word Similarity\": 0.510058318695837, \"Prediction\": -0.9788959622383118, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"portraiture\", \"Sentences\": \"This portraiture was filmed in Iraq.\", \"Word Similarity\": 0.0547194400736445, \"Prediction\": 0.6638062000274658, \"Seed\": \"Alternative\"}, {\"Categories\": \"word picture\", \"Words\": \"portrait\", \"Sentences\": \"This portrait was filmed in Iraq.\", \"Word Similarity\": 0.40247201053246207, \"Prediction\": 0.8814621567726135, \"Seed\": \"Alternative\"}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"single_nearest = alt.selection_single(on='mouseover', nearest=True)\n",
"full = alt.Chart(panic).encode(\n",
" alt.X('Word Similarity:Q'), # specify nominal data\n",
" alt.Y('Prediction:Q'), # specify quantitative data\n",
" color=alt.Color('Seed:N', legend=alt.Legend(title=\"Seed or Alternative\")),\n",
" size='Seed:N',\n",
" tooltip=('Words','Prediction','Word Similarity')\n",
").mark_circle(opacity=.5).properties(width=300).add_selection(single_nearest)\n",
"\n",
"full"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "68dfc91f-3a54-4d96-8be9-887415299735",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"isinstance(cf_df, pd.DataFrame)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "9b646bd3-fe80-460d-8237-d181554992a0",
"metadata": {},
"outputs": [],
"source": [
"#https://github.com/tvst/st-annotated-text/blob/master/example.py"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "77b86e94-e55a-4c2c-a2ed-bba4e504fbc8",
"metadata": {},
"outputs": [],
"source": [
"def get_sampled(df, seed, fixed=False):\n",
" sub_df = df[df['Words'] != seed]\n",
" if fixed:\n",
" sample = sub_df.sample(n=2, random_state = 2052)\n",
" else:\n",
" sample = sub_df.sample(n=2)\n",
" text2 = sample.Sentences.iloc[0]\n",
" text3 = sample.Sentences.iloc[1]\n",
" return text2,text3"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "99253045-8671-47d0-8bed-17b20476c196",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('This cheesecake was filmed in Iraq.', 'This scum was filmed in Iraq.')"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_sampled(panic,\"film\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "f438ae0e-7a93-4021-a3ad-5ce36ad37984",
"metadata": {},
"outputs": [],
"source": [
"text2, text3 = get_sampled(panic, \"film\")"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "06b9e22f-7562-423d-b96d-19b706869c6a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'This montage was filmed in Iraq.'"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"text2"
]
},
{
"cell_type": "code",
"execution_count": 107,
"id": "bc4b5467-c8f6-4a88-8fa2-e781e1eba23e",
"metadata": {},
"outputs": [],
"source": [
"#inspired by https://stackoverflow.com/questions/17758023/return-rows-in-a-dataframe-closest-to-a-user-defined-number/17758115#17758115\n",
"def abs_dif(df,seed):\n",
" target = df[df['Words'] == seed].Prediction.iloc[0]\n",
" sub_df = df[df['Words'] != seed].reset_index()\n",
" nearest_prediction = sub_df.Prediction[(sub_df.Prediction-target).abs().argsort()[:1]]\n",
" farthest_prediction = sub_df.Prediction[(sub_df.Prediction-target).abs().argsort()[-1:]]\n",
" nearest = sub_df.Sentences.iloc[nearest_prediction.index[0]]\n",
" farthest = sub_df.Sentences.iloc[farthest_prediction.index[0]]\n",
" return target, nearest, farthest"
]
},
{
"cell_type": "code",
"execution_count": 108,
"id": "ae73d9ac-0a05-4d30-8aec-0f40f05b7b16",
"metadata": {},
"outputs": [],
"source": [
"target, near, far = abs_dif(panic,\"film\")"
]
},
{
"cell_type": "code",
"execution_count": 100,
"id": "48312660-33af-4909-98f1-6134215e63bb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'This abstraction was filmed in Iraq.'"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"near"
]
},
{
"cell_type": "code",
"execution_count": 101,
"id": "37f226d4-dad7-42b1-9b1c-4e60fb5f3504",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'This positive was filmed in Iraq.'"
]
},
"execution_count": 101,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"far"
]
},
{
"cell_type": "code",
"execution_count": 102,
"id": "2a631966-025c-4964-bb22-bb245f0aeb57",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"-0.9771453142166138"
]
},
"execution_count": 102,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"eval_pred_test(near)"
]
},
{
"cell_type": "code",
"execution_count": 103,
"id": "777afc55-f701-4452-82ad-1b5487b68d29",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.9987342953681946"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"eval_pred_test(far)"
]
},
{
"cell_type": "code",
"execution_count": 104,
"id": "c9a92eef-9649-439e-b669-15cd360a3019",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"-0.9768388867378235"
]
},
"execution_count": 104,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"target"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e69f1778-22bf-47cc-8ee9-dd90d7e6cebf",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
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