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nlp/4_1_Lexical_Processing.ipynb
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@ -326,7 +326,7 @@
"def preprocess(words, type='doc'):\n",
" if (type == 'tweet'):\n",
" tknzr = TweetTokenizer(strip_handles=True, reduce_len=True)\n",
" tokens = tknzr.tokenize(words)\n",
" tokens = tknzr.tokenize(tweet)\n",
" else:\n",
" tokens = nltk.word_tokenize(words.lower())\n",
" porter = nltk.PorterStemmer()\n",