Sentiment Analysis of Movie Reviews using Least Square Twin Support Vector Machine

Abstract

The issue studied in this article is the sentiment analysis of movie reviews, which differs from previous research by using a support vector machine with least squares as the classifier for this study. The dataset is derived from the IMDb website, and the results indicate that the method presented in this article performs better than previous studies and can effectively distinguish between negative and positive reviews about movies. However, the issue of sentiment analysis of movie reviews presents its own specific challenges. Finally, suggestions for future research are presented.