Cinematica Sentiment Analysis

Abstract

Sentiment analysis, a subfield of natural language processing, holds significant importance in understanding the emotions and opinions expressed in textual data. This project focuses on applying sentiment analysis techniques to movie reviews, aiming to develop an efficient model for automatically classifying sentiments as positive, negative, or neutral. The primary goal of this project is to create a robust sentiment analysis of accurately categorizing the sentiment conveyed in movie reviews. By leveraging machine learning algorithms and natural language processing techniques, the model aims to provide insights into audience reactions and contribute to the broader field of sentiment analysis.