62 citations · 191 across the 14 of their papers we have counts for
14 papers
TamilEmo: Finegrained Emotion Detection Dataset for Tamil
Charangan Vasantharajan, Sean Benhur, Prasanna Kumar Kumarasen +8
Emotional Analysis from textual input has been considered both a challenging and interesting task in Natural Language Processing. However, due to the lack of datasets in low-resour…
Hypers at ComMA@ICON: Modelling Aggressiveness, Gender Bias and Communal Bias Identification
Sean Benhur, Roshan Nayak, Kanchana Sivanraju +4
Due to the exponentially increasing reach of social media, it is essential to focus on its negative aspects as it can potentially divide society and incite people into violence. In…
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Sajeetha Thavareesan +8
We present the results of the Dravidian-CodeMix shared task held at FIRE 2021, a track on sentiment analysis for Dravidian Languages in Code-Mixed Text. We describe the task, its o…
Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
Bharathi Raja Chakravarthi, Dhivya Chinnappa, Ruba Priyadharshini +7
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification…
Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Rahul Ponnusamy +6
The increased proliferation of abusive content on social media platforms has a negative impact on online users. The dread, dislike, discomfort, or mistrust of lesbian, gay, transge…
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021
Karthik Puranik, Adeep Hande, Ruba Priyadharshini +4
This paper reports the Machine Translation (MT) systems submitted by the IIITT team for the English->Marathi and English->Irish language pairs LoResMT 2021 shared task. The task fo…
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
Adeep Hande, Karthik Puranik, Konthala Yasaswini +6
Social media has effectively become the prime hub of communication and digital marketing. As these platforms enable the free manifestation of thoughts and facts in text, images and…
Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification
Siddhanth U Hegde, Adeep Hande, Ruba Priyadharshini +5
A meme is an part of media created to share an opinion or emotion across the internet. Due to its popularity, memes have become the new forms of communication on social media. Howe…
Benchmarking Multi-Task Learning for Sentiment Analysis and Offensive Language Identification in Under-Resourced Dravidian Languages
Adeep Hande, Siddhanth U Hegde, Ruba Priyadharshini +4
To obtain extensive annotated data for under-resourced languages is challenging, so in this research, we have investigated whether it is beneficial to train models using multi-task…
Hope Speech detection in under-resourced Kannada language
Adeep Hande, Ruba Priyadharshini, Anbukkarasi Sampath +3
Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms. However,…
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Vigneshwaran Muralidaran +4
This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments. The dataset w…
UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention
Siddhanth U Hegde, Adeep Hande, Ruba Priyadharshini +2
Tamil is a Dravidian language that is commonly used and spoken in the southern part of Asia. In the era of social media, memes have been a fun moment in the day-to-day life of peop…
IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers
Karthik Puranik, Adeep Hande, Ruba Priyadharshini +2
In a world filled with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate s…
Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text
Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini +1
Understanding the sentiment of a comment from a video or an image is an essential task in many applications. Sentiment analysis of a text can be useful for various decision-making…