Journal of Cognitive Human-Computer Interaction
JCHCI
2771-1463
2771-1471
10.54216/JCHCI
https://www.americaspg.com/journals/show/1047
2021
2021
Hate Speech Detection on Social Media Using Machine Learning Algorithms
Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India.
admin
admin
Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India.
Ritik
Gad
Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India.
Pranav
Gawali
Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India.
Mangesh
Gite
Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India.
Dr. A. B.
Pawa
There is an enormous growth of social media which fully promotes freedom of expression through its
anonymity feature. Freedom of expression is a human right but hate speech towards a person or group
based on race, caste, religion, ethnic or national origin, sex, disability, gender identity, etc. is an abuse of
this sovereignty. It seriously promotes violence or hate crimes and creates an imbalance in society by
damaging peace, credibility, and human rights, etc. To overcome this problem, the hate speech detection
model is made which will classify the speech and if the speech used by user is containing hate word, it
will be detected and system will sent an alert message to user about it. In order to solve various hate
speech problems we use some of the machine learning algorithms such as logistic regression and random
forest. If user disrupts cyber guidelines, then strict action shall be taken and user’s account will be ban
forever. This help to reduce cyber crimes in effective and efficient manner.
2022
2022
56
59
10.54216/JCHCI.020203
https://www.americaspg.com/articleinfo/25/show/1047