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{
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{
"cell_type": "code",
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"source": [
"import pandas as pd\n",
"\n",
"# Define the symbol-tag mappings\n",
"symbol_tags = {\n",
" \".\": \"PMP\",\n",
" \"!\": \"PME\",\n",
" \"?\": \"PMQ\",\n",
" \",\": \"PMC\",\n",
" \";\": \"PMSC\",\n",
" \"@\": \"PMS\",\n",
" \"/\": \"PMS\",\n",
" \"+\": \"PMS\",\n",
" \"*\": \"PMS\",\n",
" \"(\": \"PMS\",\n",
" \")\": \"PMS\",\n",
" \"\\\"\": \"PMS\",\n",
" \"'\": \"PMS\",\n",
" \"~\": \"PMS\",\n",
" \"&\": \"PMS\",\n",
" \"%\": \"PMS\",\n",
" \"$\": \"PMS\",\n",
" \"#\": \"PMS\",\n",
" \"=\": \"PMS\",\n",
" \"-\": \"PMS\",\n",
" \":\": \"PMS\"\n",
"}\n",
"\n",
"# Read the dataset from CSV\n",
"\n",
"output_file = 'final_CRF.csv'\n",
"\n",
"# Read the dataset\n",
"df = pd.read_csv(r'D:\\Thesis\\POS Tag Automation\\cleaned_output.csv')\n",
"\n",
"# Update tags based on symbols\n",
"df['Tag'] = df.apply(lambda row: symbol_tags.get(row['Token'], row['Tag']), axis=1)\n",
"\n",
"# Save the updated dataset to CSV\n",
"df.to_csv(output_file, index=False)\n"
]
}
],
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