Search Results for author: Senthil Kumar B

Found 6 papers, 1 papers with code

PANDAS@TamilNLP-ACL2022: Emotion Analysis in Tamil Text using Language Agnostic Embeddings

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.

Emotion Recognition

ssn_diBERTsity@LT-EDI-EACL2021:Hope Speech Detection on multilingual YouTube comments via transformer based approach

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.

Hope Speech Detection

An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline

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.

Fairness

IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages

1 code implementation15 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.

Sentiment Analysis Transliteration

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