no code implementations • LTEDI (ACL) 2022 • Bharathi B, Dhanya Srinivasan, Josephine Varsha, Thenmozhi Durairaj, Senthil Kumar B
In recent times, applications have been developed to regulate and control the spread of negativity and toxicity on online platforms.
no code implementations • LTEDI (ACL) 2022 • Dhanya Srinivasan, Bharathi B, Thenmozhi Durairaj, Senthil Kumar B
Automatic speech recognition is a tool used to transform human speech into a written form.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • DravidianLangTech (ACL) 2022 • Divyasri K, Gayathri G L, Krithika Swaminathan, Thenmozhi Durairaj, Bharathi B, Senthil Kumar B
As the world around us continues to become increasingly digital, it has been acknowledged that there is a growing need for emotion analysis of social media content.
no code implementations • LATERAISSE (LREC) 2022 • Senthil Kumar B, Pranav Tiwari, Aman Chandra Kumar, Aravindan Chandrabose
In this paper, we studied the gender bias in monolingual word embeddings of two Indian languages Hindi and Tamil.
no code implementations • EACL (LTEDI) 2021 • Senthil Kumar B, Aravindan Chandrabose, Bharathi Raja Chakravarthi
Data in general encodes human biases by default; being aware of this is a good start, and the research around how to handle it is ongoing.
no code implementations • EACL (LTEDI) 2021 • Arunima S, Akshay Ramakrishnan, Avantika Balaji, Thenmozhi D., Senthil Kumar B
In recent times, there exists an abundance of research to classify abusive and offensive texts focusing on negative comments but only minimal research using the positive reinforcement approach.
1 code implementation • 15 Nov 2021 • Karthik Puranik, Bharathi B, Senthil Kumar B
This research paper bestows a tiny contribution to this research in the form of sentiment analysis of code-mixed social media comments in the popular Dravidian languages Kannada, Tamil and Malayalam.