Competitive Sentiment Analysis for Brand Reputation Monitoring

In a world characterized by rapid information sharing and constant consumer feedback, the ability of brands to understand and respond to changing public sentiment is crucial. The proposed research responds to the imperative of comprehending public sentiment regarding brands relative to their competitors. It aims to not only track how people feel about a brand but also provide valuable insights by comparing it to how they feel about similar brands in the market. The proposed research incorporates Information retrieval techniques such as Textual Similarity calculation to compare textual data and Machine Learning techniques to compare product similarity for Competitive Analysis. We aim to create user-friendly visualizations and tools to help brands stay up-to-date with public opinion, empowering them to make informed decisions in an ever-evolving landscape of consumer sentiment and competition. This research aims to offer a practical solution for brand reputation management and market research strategy in the digital age.