news-classification
Multinomial Naive Bayes and Support Vector Machine classification using 1150 news (used with tf-idf and stemmer)
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WORD STEMMER PROCESS (TF-IDF) => Classification using stemmer and tf-idf representation method
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WORD PROCESS (TF-IDF) => Classification using tf-idf representation method(not stemmer)
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WORD STEMMER PROCESS (BIGRAM TF-IDF) => Classification using stemmer, bigram and tf-idf representation method
Dataset : 1150 Turkish news texts in 5 classes
Python 3.6.4
Nltk 3.2.5
scikit-learn 0.19.0
jpype 0.6.3
textblob 0.15.1
zemberek_parser folder = https://github.com/kemalcanbora/zemberek_parser