no code implementations • LTEDI (ACL) 2022 • Sarika Esackimuthu, Shruthi Hariprasad, Rajalakshmi Sivanaiah, Angel S, Sakaya Milton Rajendram, Mirnalinee T T
The multi-class classification model used in our system is based on the ALBERT model.
no code implementations • LTEDI (ACL) 2022 • Praveenkumar Vijayakumar, Prathyush S, Aravind P, Angel S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee T T
In recent years social media has become one of the major forums for expressing human views and emotions.
no code implementations • LTEDI (ACL) 2022 • Karun Anantharaman, Angel S, Rajalakshmi Sivanaiah, Saritha Madhavan, Sakaya Milton Rajendram
DepSign-LT-EDI@ACL-2022 aims to ascer-tain the signs of depression of a person fromtheir messages and posts on social mediawherein people share their feelings and emo-tions.
no code implementations • DravidianLangTech (ACL) 2022 • Shruthi Hariprasad, Sarika Esackimuthu, Saritha Madhavan, Rajalakshmi Sivanaiah, Angel S
The ACL shared task of DravidianLangTech-2022 for Troll Meme classification is a binary classification task that involves identifying Tamil memes as troll or not-troll.
no code implementations • DravidianLangTech (ACL) 2022 • Varsini S, Kirthanna Rajan, Angel S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee T T
In this paper, we present our system for the task of Emotion analysis in Tamil.
no code implementations • SemEval (NAACL) 2022 • Rajalakshmi Sivanaiah, Angel S, Sakaya Milton Rajendram, Mirnalinee T T
This paper describes the system used for identifying misogynous content using images and text.
no code implementations • SemEval (NAACL) 2022 • Ramdhanush V, Rajalakshmi Sivanaiah, Angel S, Sakaya Milton Rajendram, Mirnalinee T T
Irony detection in the social media is an upcoming research which places a main role in sentiment analysis and offensive language identification.
no code implementations • SemEval (NAACL) 2022 • Karun Anantharaman, Divyasri K, Jayannthan Pt, Angel S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee T T
Task 10 in SemEval 2022 is a composite task which entails analysis of opinion tuples, and recognition and demarcation of their nature.