A Comparative Study on Deep Learning Techniques Using Sentiment Analysis
Ayush Jain, Sovers Singh Bisht, Sonia Arora, Bibhash Anand · 2023
Sentiment Analysis is a process of analyzing the opinion of the people into various categories i.e., positive, negative and neutral. Nowadays sentimental analysis has found a stable position and the most used technique for the analysis of people’s sentiment and opinion and predict based on the past review. It is implemented using various machine learning algorithm and approach to generate the sentiment as positive, negative, and neutral. The classification of review and expression into different categories based on the analysis helps in predicting the opinion of the audience.In this research paper we focus our task of sentimental analysis on IMDB movie review dataset. We have used different machine learning and deep learning algorithm to generate the sentiment as positive or negative. By using BERT algorithm, we find the best accuracy of 90.92%.