The rapid growth of social media platforms such as Instagram and Facebook has generated vast amounts of unstructured data that offer valuable insights for digital marketing. This project focuses on applying Big Data Analytics techniques to analyze large-scale social media data, including comments, captions, likes, and shares, in order to extract meaningful marketing intelligence. By processing and analyzing high-volume, high-velocity data, the system identifies customer sentiment, user engagement patterns, and emerging trends. Advanced analytics methods enable businesses to understand audience preferences, measure campaign performance, and predict consumer behavior more effectively. The proposed approach transforms raw social media data into structured and actionable insights that support data-driven decision-making.
N.Suneetha et al. (Thu,) studied this question.
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