Applications, Challenges, and Emerging Trends in Twitter Sentiment Analysis
Year: 2025
Type: article
Abstract: ABSTRACT Twitter sentiment analysis has emerged as a critical area of research within Natural Language Processing (NLP) due to the widespread use of Twitter as a microblogging platform. This article reviews recent advances in sentiment analysis techniques, explores practical applications, discusses common challenges, and highlights emerging trends. The review integrates insights from prior studies, including the author’s previous contributions, to provide a comprehensive understanding of the current landscape and future research directions. Keywords—Twitter, Sentiment Analysis, NLP, Deep Learning, Fake News, Opinion Mining, Social Media Analytics.
Author: Dr. P. Kavitha , Ms.D.Janaki , Ms.Gayathri , Ms.Mahalakshmi , Ms.G.Kirubalini , Ms.Kaveri
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7089561243
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