Index Ranking of Tweets Based on Content-Relevance

  • Lakshmidevi N., Dr. M. Vamsikrishna, Dr. S. S. Nayak

Abstract

Twitter is a standout amongst the most well known smaller scale blogging administrations, gives extensive amounts of crisp data including constant news, remarks, discussions, futile prattle and advisements. In this flooding there is a great deal of trivial tweets. The positioning procedure we offer uses a technique where the positioning of the tweets is finished utilizing distinctive highlights of tweets.The system thinks about that specialist of tweet, url joins incorporating into tweets and other tweet particular highlights. This methodology can be answer for this issue of silly tweet data and offers the client get most applicable substance as it were.

Published
2021-10-27
How to Cite
Lakshmidevi N., Dr. M. Vamsikrishna, Dr. S. S. Nayak. (2021). Index Ranking of Tweets Based on Content-Relevance. Design Engineering, 7289-7296. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/5737
Section
Articles