This is my first python project to classify documents. The first step is to convert documents into words and create tf-idf features for each documents. After feature extraction, any kind of classifier is your choice. Later I will upload myknn.py as my first python project on classfiers. Command line usage python tfidf.py yourdocuments1.txt yourdocuments2.txt ... >output.txt or you can just name your document in a unified way like good01.txt good02.txt then command line would be python tfidf.py good*.txt>output.csv
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frankzhangrui/documents_classifying
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