Author Login IJIRT Partner Network (IPN) Login

Genetic Programming Approach to Detect Hate Speech in Social Media

  • Unique Paper ID: 155732
  • Volume: 9
  • Issue: 1
  • PageNo: 1547-1552
  • Abstract:
  • Now-a-days, social media has become part of our day to day lives. More than half of the world makes use of social media. With the increased use of social media, there have been many problems that are rising. Hate speech is one among them. Since there are billions of users using social media, it has become a big problem to deal with as it can be identified based on user’s report to such action. It’s difficult to monitor and detect the hate speech and on social media platforms. There is a need for detecting and avoiding the hate speech from circulating in social media. The language used and the size of the content pose problem for the traditional machine learning algorithms. Therefore, the genetic programming approach along with ml algorithm is used to detect hate speech because of the better performance it offers.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 1
  • PageNo: 1547-1552

Genetic Programming Approach to Detect Hate Speech in Social Media

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry