gary083/sentiment_classifier_tf

sentiment_classifier

How to run it :

you can get training data and model here : https://goo.gl/dfGIHs

• train : $ python3 main.py -train
  model save in the directory save/ by default.
  
• test : $ python3 main.py -test
  

environment :

tensorflow-gpu (1.0.1)
Keras (2.0.2)

corpus :

'Twitter Sentiment Analysis Dataset'(https://goo.gl/dH6Zi2) contains 1,578,627 classified tweets,
each row is marked as 1 for positive sentiment and 0 for negative sentiment.