Steps for Running this project: Necessary python packages that need to be installed in the machine. 1.tweepy 2.mysqlclient 3.IMDbPY 4.nltk 5.textblob 6.jsonpickle 7.bokeh 8.pickleshare 9.scikit-learn 10.numpy If these modules are not present, here is the installation guide for having all the packages in the machine. Installation: pip install tweepy conda install mysqlclient pip install IMDbPY pip install nltk pip install textblob pip install jsonpickle pip install bokeh pip install pickleshare pip install scikit-learn pip install numpy Twitter tokens that needs to be added. Modify the properties file with your tokens to access through your tweeter. Tokens Needed: token: token_secret: consumer_key: consumer_secret: Steps In running the project 1. Training the classifier with the Positive and Negative list of words. cd Project python3.6 Train_Classifiers.py 2. Database should be started: create and install database and table using queries given in sql.db file. 3. Run the bokeh file. bokeh serve --show myapp.py this will open the browser window. 4.In browser : Enter the movie name to search and obtain the information. Verify: Check the information about the tweets and rating by checking in database table.