Sentiment Analysis Using LSTM

Le résumé fourni par la source

Sentiment analysis is a vast growing field as various branches of artificial intelligence are being used in different fields. Incorporating sentiment analysis in the field of psychology would be of great help to both doctors for easy diagnosis and patients for self-checking. The research work proposed in this article focuses on obtaining the dependency of one word with others in its current context using long short-term memory (LSTM) for obtaining the sentiment. The dataset used consists of 156060 movie reviews and a model was trained to classify the cleaned text data into three classes – Negative, Neutral, and Positive. The performance of the model was evaluated by checking the loss generated and the validation accuracy after each epoch. The model and its hyper parameters were also tuned to obtain the best model in terms of validation accuracy.

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