predctingHappiness.ipynb uses two methodes CounterVectore and TfidfVector to build "bag of words" model. WordEmbedding.ipynb uses keras backed by tensorflow to build model. just run the file and compare the prediction score. you can find training and testing data train data - https://drive.google.com/open?id=12O8skyZ4LihzEDIdDD8KGRolgp0MmgfJ test data - https://drive.google.com/open?id=1Qb3PPi1iF1OyI1GGPwsQ6Q7t1VAJr_CN
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predicting sentiment of customers
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