Sentiment Analysis Using NLP

Abstract

Sentiment analysis, often referred to as opinion mining, is a vital subfield of Natural Language Processing (NLP) that focuses on understanding and classifying sentiments expressed in text data. This paper offers a comprehensive exploration of sentiment analysis, encompassing its methodologies, applications across various domains, and practical implications. We delve into the specifics of data collection, preprocessing, feature extraction, sentiment analysis techniques, and present empirical findings that highlight the effectiveness of our approach.