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 Chiramel | 1 | 0 | 0.34 |
Doina Logofatu | 2 | 17 | 16.74 |
Gheorghe Goldenthal | 3 | 0 | 0.34 |