8 citations · 19 across the 8 of their papers we have counts for
5 papers · 1 filter
A Twitter BERT Approach for Offensive Language Detection in Marathi
Tanmay Chavan, Shantanu Patankar, Aditya Kane +2
Automated offensive language detection is essential in combating the spread of hate speech, particularly in social media. This paper describes our work on Offensive Language Identi…
Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection
Omkar Gokhale, Aditya Kane, Shantanu Patankar +2
Pre-training large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. Although this method has proven to be effectiv…
Optimize_Prime@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil
Shantanu Patankar, Omkar Gokhale, Onkar Litake +2
This paper tries to address the problem of abusive comment detection in low-resource indic languages. Abusive comments are statements that are offensive to a person or a group of p…
Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil
Omkar Gokhale, Shantanu Patankar, Onkar Litake +2
This paper aims to perform an emotion analysis of social media comments in Tamil. Emotion analysis is the process of identifying the emotional context of the text. In this paper, w…
Transformer based ensemble for emotion detection
Aditya Kane, Shantanu Patankar, Sahil Khose +1
Detecting emotions in languages is important to accomplish a complete interaction between humans and machines. This paper describes our contribution to the WASSA 2022 shared task w…