Sentiment Analysis for Social Media: Using Natural Language Processing to Understand Public Opinion

This paper explores the operation of Natural Language Processing (NLP) techniques in sentiment analysis of social media platforms. With the exponential growth of social media as a major communication tool, understanding public sentiment has become pivotal for businesses, governments, and organizations. This study reviews various sentiment analysis techniques, challenges, and advancements in NLP, and evaluates their efficacy in understanding public opinion. The paper also highlights practical use cases of sentiment analysis in marketing, political campaigning, brand management, and customer service.