Senti Comment: Event Success Prediction Through Sentiment Analysis of User Feedback

Sentiment analysis has emerged as a pivotal tool in extracting valuable insights from user-generated content, with its applications spanning various domains. This paper presents a novel approach to event evaluation using sentiment analysis techniques within the domain of Natural Language Processing (NLP). By analyzing user comments from diverse events such as parties, college fests, and conferences, we develop a robust NLP model to assess event success based on positive sentiment. Our model offers realtime insights into event reception and provides interpretative analysis of user feedback, including suggestions and expressions of appreciation. This research contributes to advancing sentiment analysis methodologies and equips event organizers with a valuable tool for enhancing future event planning strategies.