Open AccessSentiment Analysis Using Lstm
Author(s) -
Ashok Tholusuri,
Manish Anumala,
Bhagyaraj Malapolu,
G. Jaya Lakshmi
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1235.0986s319
Subject(s) - computer science , sentiment analysis , artificial intelligence , statement (logic) , recurrent neural network , machine learning , natural language processing , deep learning , state (computer science) , artificial neural network , linguistics , philosophy , algorithm
Extracting the sentiment of the text using machine learning techniques like LSTM is our area of concern. Classifying the movie reviews using LSTM is our problem statement. The reviews dataset is taken from the IMDB movie review dataset. Here we will classify a review based on the memory in the neural network of a LSTM cell state. Movie reviews often contain sensible content which describe the movie. We can manually decide whether a movie is good or bad by going through these reviews. Using machine learning approach we are classifying the movie reviews such that we can say that a movie is good or bad. LSTM is effective than many other techniques like RNN and CNN.