Detection of Malicious Microblogs from Online Social Networking Sites using Natural Language Processing (NLP) Techniques

  • Sagar Kulkarni
  • Manasi Kulkarni
  • Dr. Ashwini Manish Brahme
  • Shubhangi Chavan

Abstract

Malicious detection is a recent area of research in which most previous work had focused on the identification of malicious text on social media. However, in this project we present
a methodology based on two new aspects: the detection of malicious posts in isolation and without previous information of the user; and the application of a statistical analysis of
language to detect malicious posts in hindi language. This growing microblogging phenomenon therefore allows spamm

Published
2020-02-21
How to Cite
Kulkarni, S., Kulkarni, M., Ashwini Manish Brahme, D., & Shubhangi Chavan. (2020). Detection of Malicious Microblogs from Online Social Networking Sites using Natural Language Processing (NLP) Techniques. Our Heritage, 68(27), 268-278. Retrieved from https://archives.ourheritagejournal.com/index.php/oh/article/view/2498