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Airlines Twitter Sentiment Analysis Using EDA AND ML

Author

Listed:
  • Amey Pathare
  • Ajay Nishad
  • Saurabh Dubey
  • Shankar Malve
  • Uma Goradiya

Abstract

Today, social media is a part of everyone, so there are a lot of user views available. A sentiment analysis technique called "airlines sentiment analysis" may be used to examine the issues or views of all significant U.S. airlines. Twitter data from various years was scraped in order to understand the customer's voice. Contributors were requested to first categorise positive, neutral, and negative tweets before classifying negative tweets like delayed flights or rude service. The collection of sentiment tweets for six US airlines, whether they were positive, negative, or neutral, is included in the CSV file. Social media sites like Facebook, Twitter, etc. are being used more frequently by people worldwide. Using social media, they exchange ideas, views, and information. More attention was paid to these social issues by the business.

Suggested Citation

  • Amey Pathare & Ajay Nishad & Saurabh Dubey & Shankar Malve & Uma Goradiya, 2023. "Airlines Twitter Sentiment Analysis Using EDA AND ML," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9(2), pages 519-523, April.
    • Handle: RePEc:jbh:ijsrcs:v9:y2023:i2:id:hcseit2390266
    Note: Article URL: https://ijsrcseit.com/CSEIT2390266
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