Twitter Bot For Consumer Feedback Analysis

This research presents the development of a Twitter bot for consumer feedback analysis using natural language processing (NLP) techniques. The bot is designed to collect and analyze tweets related to specific products or services, and provide businesses with real-time insights on consumer sentiment and feedback. The bot uses a combination of NLP techniques, including sentiment analysis, topic modeling, and keyword extraction, to identify trends and insights from the tweets. The resulting analysis can be used by businesses to improve their products or services, as well as their customer engagement strategies. The paper also discusses the challenges and opportunities associated with developing and deploying such a bot, including ethical considerations related to privacy and data protection.