Sentiment Analysis of Twitter Data Using NLP Models: A Comprehensive Review

Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of Twitter data has gained significant attention as a method for comprehending public attitudes, emotional responses, and trends which proves valuable in sectors such as marketing, politics, public health, and customer services. In this paper, we present a systematic review of research conducted on sentiment analysis using natural language processing (NLP) models, with a specific focus on Twitter data. We discuss various approaches and methodologies, including machine learning, deep learning, and hybrid models with their…