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To evaluate this project please first make sure that you have installed sklearn, gensim, beautifulSoup, cython

python setup.py build_ext --inplace #to build the c-extension

python docVecTrain.py #to build the doc2vec models and classifier, it will take roughly 30 mins

python app.py# to run the web app

Due to the limited timing, I didn't have a front-end. You may enter the url into the browser "http://[domain]:39179/submit?review="MOVIE REVIEW FROM TEST SET WOULD BE PREFERED"

a json will be returned such that 1 indicates positve feeling and 0 indicates negative feeling

The best score I have achieved in Kaggle competition (without telling you the answer for test cases) is 85.7% accuracy. You can find this information at https://www.kaggle.com/c/word2vec-nlp-tutorial/leaderboard by searching "Weilun Du"

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