This solution classifies tweets mentioning airline travel into positive, neutral and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict sentiment classes for tweets. It automates the manual effort to analyze airline travel related tweets and helps generate faster actionable insights around airline services.