Strategic Brand Sentiment Analysis for Competitive Surveillance

In a fast-paced digital landscape characterized by rapid information sharing and continuous consumer feedback, the significance of brands comprehending and responding to evolving public sentiment cannot be overstated. This research paper aims to address this imperative by leveraging information retrieval techniques, such as Textual Similarity calculation, and Machine Learning methods to analyze product similarity for Competitive Analysis. Our objective is to not only monitor public sentiment towards a brand but also provide valuable insights by comparing it with similar brands in the market. Through user-friendly visualizations and tools, we seek to empower brands to stay abreast of public opinion and make informed decisions amidst the dynamic landscape of consumer sentiment and competition. This research offers a practical solution for brand reputation management and market research strategy in the digital age.