Sentiment_analysis_on_IMDB_movie_dataset

I'm using LSTM for sentiment analysis of IMDB movie review dataset. RNNs show excellent results(LSTMs to be precise) in NLP as it contains sequential data. I used pre-trained Glove word embeddings to obtain words vectors in our dataset.

Data

I used IMDB movie review data which is a collection of 50000 movie reviews classified either as positive or negative.

Requirements

Python 3.7

Keras 2.3

Numpy 1.18

Pandas 1.0

Matplotlib 3.1

Result

I successfully obtained 90.82% accuracy on test set.