This project uses Recurrent Neural Networks for Sentiment Analysis as a better approach. Its paper can be found in this link We will train a classfier movie reviews in IMDB dataset, using Recurrent Neural Networks.

keras
tensorflow

you can create a conda virtual environment to run the project by using the following command

conda env create -f environment.yml

We will use Recurrent Neural Networks, and in particular LSTMs, to perform sentiment analysis in Keras. Conveniently, Keras has a built-in IMDb movie reviews data set that we can use.

from keras.datasets import imdb

To start training program use this command

python RNNSentiment.py --epochs epochs --batch_size batch_size --vocab_size vocabulary_size --max_words maximum_words --embedding_size embedding_size --lr learning_rate --steps steps_per_epoch

where

• --epochs => no of epochs to train the model
• --batch_size => batch size
• --vocab_size => vocabulary size
• --max_words => the maximum number of words
• --embedding_size => word embedding size
• --lr => learning rate
• --steps => steps per epoch