Sentiment Analysis is done by using Deep Learning RNN(LSTM).The Dataset used is The multi-sentiment Dataset

consumer_key= 'your consumer_key'

consumer_secret= 'your consumer_secret'

access_token='your access_token'

access_token_secret='your access_token_secret'

Training the Model

Execute the "Training.py" to begin the training process The model is trained on the multi-sentiment dataset Which is then saved into "model.json" and the weights are save as "model.h5"

Val&json.ipynb

Open and put any user name and it will save hte data in json file