Leveraging Insights in Social Media Analysis using Natural Language Processing

The Social media analytics is one of most effective usage when we are discussing about the influencer's reach, public's reactions on the brands along with survey of the brand image. motivating by this statement, this paper adopted social media analysis tools Natural Language Processing which begins from the consumer's perspective in social networks what is the impact of influencer's behaviour’s on brand loyalty and preference. The research is performed on a dataset of roughly 650 publicly accessible social media postings, where each data point represents to a full post, acquired only from public sources. In-more This research address significant gap in existing which offers insufficient proof on influencer's attributes such as tone and character. To analyse influencer and brand influence, the system uses Natural Language Processing techniques, the study evaluates publicly available social media posts to find linguistic patterns and theme signals that reflect brand–influencer communication strategies, offering clear and relevant information.