Deep Learning Based Twitter Sentiment Analysis

Authors

  • Dr.G.Sridevi Author
  • P.Swetha Author
  • P.Keerthana Naidu Author
  • M.Tarun4 Author
  • P.Divya Sai Author

Abstract

To summarize reviews of a product, an extensively used approach is Aspect-based text mining which is applied on tweets or review data. With the help of Twitter sentiment detectors (TSDs) we can obtaina finer answer to assess a product in terms of quality and service. Social media has become a necessarymeans of communication in our daily lives. If we consider Twitter, most of the tweets are usually unstructured, non-formal, and it lacks labeled data like ratings, emojis, different categories, images, hashtags, videos etc. which makes it laborious for product opinion mining.

Published

2022-01-01

Issue

Section

Articles

How to Cite

Deep Learning Based Twitter Sentiment Analysis. (2022). International Journal of Food and Nutritional Sciences, 11(11), 1356-1364. http://ijfans.org/index.php/Journal/article/view/11748