Sentiment Analysis of Tweets for Customer Experience Analysis
Benjamin van der Merwe
Get a pulse on customer sentiment towards US airlines with this interactive Streamlit dashboard.
Designed for businesses and aviation enthusiasts alike, this powerful tool leverages Twitter data to uncover insights into passenger experiences.
Features:
Sentiment Analysis: Gain a clear overview of positive, negative, and neutral sentiments expressed in tweets about US airlines.
Time-of-Day Analysis: Discover how sentiment varies throughout the day, identifying peak positive or negative sentiment periods.
Airline Comparisons: Compare sentiment scores across different airlines to identify industry leaders and laggards in customer satisfaction.
Word Clouds: Visualize frequently used words associated with specific sentiments for a deeper understanding of customer opinions.
Ideal For:
Airlines: Monitor brand perception and track customer feedback in real time.
Market Researchers: Analyze industry trends and competitive landscape.
Investors: Assess potential risks and opportunities in the airline sector.
Travelers: Make informed decisions based on fellow passengers' experiences.
Technology: Built using Python, Selenium, and X for data collection and analysis, and Streamlit for an intuitive and user-friendly interface.
Benefits:
Data-Driven Decision Making: Make informed choices based on real customer feedback.
Competitive Advantage: Stay ahead of the curve by monitoring industry trends.
Reputation Management: Identify and address potential issues promptly.
Enhanced Customer Experience: Understand passenger pain points and improve service offerings.
