Analyzing the Impact of Social Media Dynamics Through Sentiment Analysis: A Case Study on Influencer-Generated Content and Response on Recommendation Systems Amidst the Lakshadweep-Maldives Situation

Abstract

Our Research helps user to analyze the impact of Influencer generated Content on recommendation systems. By Understanding how sentiments expressed on social media platforms may influence recommendation algorithms is crucial and for enhancing the effectiveness and relevance in our system it needs to explore. we focus on exploring the correlation between influencer-generated content on social media platform and user responses within the geopolitical situation of Lakshadweep-Maldives. The primary goal of this research is to analyze how sentiments expressed by influencers on various platforms influence public opinion and afterward effect on recommendation system outputs. We examining sentiments across diverse sources of studying influencer content related to the Maldives and Lakshadweep geopolitical situation. We identified significant correlations between influencer activities that can shifts search patterns in the recommendation system. By conducting a comprehensive case study we aim to uncover deeper understanding of how influencer dynamics in digital spaces influence recommendation systems to shape perceptions particularly in the context of geopolitical events. This research is essential as it provides valuable insights for enhancing travel recommendation systems and making them more transparent and contextually aware to the end user