This project was aimed to used sentiment analysis to determined product recommendation. We started with the data engineering and text mining, which cover change text into tokens, remove punctuation, numbers, stop words and normalization them by using lemmatization. Following we used bag of words model to convert the text into numerical feature vectors.
suy1968/Sentiment_analysis-using-nltk
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