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Update NLP for Text Classification (Jupyter Notebook).ipynb #2

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Update NLP for Text Classification (Jupyter Notebook).ipynb #2

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8 changes: 4 additions & 4 deletions NLP for Text Classification (Jupyter Notebook).ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -352,9 +352,9 @@
"source": [
"from nltk.corpus import stopwords\n",
"\n",
"# remove stop words from text messages\n",
"# remove stop words from text messages,and passed result into a list\n",
"\n",
"stop_words = set(stopwords.words('english'))\n",
"stop_words = list(set(stopwords.words('english')))\n",
"\n",
"processed = processed.apply(lambda x: ' '.join(\n",
" term for term in x.split() if term not in stop_words))"
Expand Down Expand Up @@ -461,7 +461,7 @@
"features = find_features(processed[0])\n",
"for key, value in features.items():\n",
" if value == True:\n",
" print key"
" print (key)"
]
},
{
Expand Down Expand Up @@ -546,7 +546,7 @@
"# train the model on the training data\n",
"model.train(training)\n",
"\n",
"# and test on the testing dataset!\n",
"# and test on the testing dataset!(warning, this might take some time,so go make yourself a good meal, you desereve it)\n",
"accuracy = nltk.classify.accuracy(model, testing)*100\n",
"print(\"SVC Accuracy: {}\".format(accuracy))"
]
Expand Down