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The Automatization of Social Media Communication

Author

Listed:
  • Aditya Parashar
  • Nikhil Jadhav
  • Aniket Madame
  • Suhas Deokate

Abstract

This research paper compiles and evaluates several studies that have a particular interest in social media analysis and its applications. Studies on evaluating the impact of movies and television shows on social media platforms, using semantic knowledge graphs to analyze Covid-19 news articles and identify fake news on social media, forecasting social media data using machine learning, and the evolution of the power of central nodes in a Twitter social network are all covered in this article. The significance of sentiment analysis and opinion mining in social media, analysis of social media-based profiles, and mining serendipitous drug use from social media using machine learning are all topics covered in the paper. The paper also emphasizes the application of social media text analysis for a high-frequency-link DC transformer based on switched capacitors for medium-voltage DC power distribution applications, and urban region mining services. The research paper offers details on the state of social media analysis right now and some potential uses for it.

Suggested Citation

  • Aditya Parashar & Nikhil Jadhav & Aniket Madame & Suhas Deokate, 2023. "The Automatization of Social Media Communication," 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(3), pages 183-187, June.
    • Handle: RePEc:jbh:ijsrcs:v9:y2023:i3:id:hcseit239037
    DOI: 10.32628/CSEIT239037
    Note: Article URL: https://ijsrcseit.com/CSEIT239037
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