Title
Detection Of Social Media Platform Insults Using Natural Language Processing And Comparative Study Of Machine Learning Algorithms
Abstract
The rise of the digital era has been the most ingenious aspect of the millennium. It brought the world closer ,facilitating growth in communication, ideas and thereby trade. The flare of various social media platforms such as Facebook, YouTube, Twitter etcetera precipitated a virtual world which with its many goodness also gave rise to perpetrators who behind their computer screen gained gratification by posting abusive comments in the social media platform.Curbing such activities is the need of the hour in order to protect the vulnerable victims from mental anguish. In this paper, we have proposed approaches to identify and classify social media insults. A comparative analysis between Support vector machines and Random forest has been elaborated in this paper.
Year
DOI
Venue
2020
10.1109/ICSTCC50638.2020.9259730
2020 24TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC)
Keywords
DocType
ISSN
Insults, Social Media, Machine Learning, Natural language Processing, Support vector Machine, Random Forest
Conference
2372-1618
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Sruthi Chiramel100.34
Doina Logofatu21716.74
Gheorghe Goldenthal300.34