Social Media Opinion Analyzer
DOI:
https://doi.org/10.15662/IJRAI.2026.0902007Keywords:
Sentiment Analysis, Social Media Analytics, Opinion Mining, Natural Language Processing (NLP), Machine Learning, Text Mining, Data Visualization, Hashtag Analysis, Trend Detection, Public Opinion Analysis, Big Data Analytics, Social Network AnalysisAbstract
The social media is a huge virtual space where to express and share individual opinions, influencing any aspect of life, with implications for marketing and communication alike. Social Medias are influencing the current world preferences by shaping their attitudes and behaviors. Monitoring the Social Media activities is a good way to measure one's loyalty, keeping a track on their sentiment towards brands or products. Social Media are the next logical marketing arena. Currently, Facebook dominates the digital marketing space, followed closely by "X" which was recently known as Twitter. This paper describes a Sentiment Analysis study performed on over 1000 posts about newscasts based the dataset that will be provided. This social media though it has simplified work in one way or another but it has also provided laziness among the users which in turn it is leading to change of behavior of the upcoming generations. Social media sentiment analysis has emerged as a prominent research area due to the exponential growth of user-generated content on various social media platforms. This paper provides a comprehensive review of the progress made in the field of social media sentiment analysis, highlighting its significance and applications across diverse domains.
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