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@article{163801,
        author = {Shubham Musale and Ashwini Salunke and Avinash Kapse},
        title = {Sentiment Analysis On Social Media},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {1997-2002},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163801},
        abstract = {This study employs sentiment analysis techniques to evaluate public sentiment on social media platforms. By employing natural language processing and machine learning algorithms, the research aims to analyze the emotional tone and attitudes expressed in user-generated content. The investigation focuses on identifying prevalent sentiments such as positivity, negativity, or neutrality, providing valuable insights into public opinion and social trends. The findings contribute to a deeper understanding of online discourse, aiding businesses, policymakers, and researchers in making informed decisions based on the prevailing sentiment in social media discussions. },
        keywords = {Social Media, Sentiment Analysis, Natural Language Processing, Machine Learning, User-Generated Content, Opinion Mining, Social Analytics.},
        month = {},
        }