2-OpinionMining.ipynb

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   "source": [
    "import re #regex library"
   ]
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    "def GenerateAspectsFile(inputFile,tagsToInclude, OutputFile):\n",
    "    pat = re.compile('\\\"([^\\\"]*)\\\"') # This regex pattern is to extract lemma values from the output file generated by opinion finder tool.\n",
    "    sent_transaction_aspects=[]\n",
    "    with open(OutputFile, 'w') as aspectsFile:\n",
    "        for line in open(inputFile):\n",
    "            li=line.strip()\n",
    "            if not li.endswith(\"GATE_Sentence\"):\n",
    "                slc_col=pat.findall(line.rstrip()) # slc_col: string, lemma ,category collection\n",
    "                if len(slc_col)==3 and slc_col[2] in tagsToInclude and slc_col[1] and slc_col[1] !='t': #slc_col[0] means string value slc_col[1] means lemma value, slc_col[2] means category value\n",
    "                    sent_transaction_aspects.append(slc_col[1])\n",
    "            elif len(sent_transaction_aspects) > 0:\n",
    "                aspectsFile.write(','.join(sent_transaction_aspects))\n",
    "                aspectsFile.write('\\n');\n",
    "                sent_transaction_aspects=[]\n",
    "        aspectsFile.write(','.join(sent_transaction_aspects)) # Finally write the last transaction aspects too!\n",
    "        print('output file generate at ' +OutputFile)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
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     "name": "stdout",
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     "text": [
      "output file generate at Output\\aspects.csv\n"
     ]
    }
   ],
   "source": [
    "noun_tags=['NN','NNS','NNP','NNPS']\n",
    "GenerateAspectsFile('Output\\\\gate_default',noun_tags, 'Output\\\\aspects.csv')"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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   "source": []
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