Sentiment Analysis for Social Media: Using Natural Language Processing to Understand Public Opinion
DOI:
https://doi.org/10.32628/IJSRSET251238Keywords:
Social Media Data Mining, Sentiment Trend Analysis, Sarcasm Detection, Hashtag SentimentAbstract
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.
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Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis.
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Copyright (c) 2025 International Journal of Scientific Research in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
