Ethiopian Airlines Twitter Sentiment Dataset

This dataset contains Twitter data related to Ethiopian Airlines, focusing on customer feedback, service experiences, and sentiment analysis. Each record includes tweet text, engagement metrics (likes and retweets), timestamps, and labeled sentiment (positive, negative, neutral). The dataset is suitable for: Sentiment analysis and NLP research Aspect-Based Sentiment Analysis (ABSA) Customer service quality assessment Airline industry analytics Machine learning and deep learning model training It provides valuable insights into real-world customer interactions, highlighting common issues such as booking challenges, payment failures, delays, and service quality concerns.