Navigating Airline Customer Feedback: Sentiment Analysis and Topic Modeling with Gensim LDA and K-means
This project aimed at uncovering valuable insights from the vast array of messages received by airlines from their customers. Through the powerful combination of sentiment analysis and topic modeling techniques using Gensim LDA and K-means clustering, this project delves into the nuanced sentiments expressed by passengers and categorizes the messages into coherent topics. By applying these advanced analytical methods, the project aims to provide airlines with a deeper understanding of customer sentiments and concerns, enabling them to enhance their services, address customer needs effectively, and ultimately improve overall customer satisfaction.
