[HTML][HTML] Homophobia and transphobia detection for low-resourced languages in social media comments
People are increasingly sharing and expressing their emotions using online social media
platforms such as Twitter, Facebook, and YouTube. An abusive, hateful, threatening, and …
platforms such as Twitter, Facebook, and YouTube. An abusive, hateful, threatening, and …
Overview of shared-task on abusive comment detection in tamil and telugu
This paper discusses the submissions to the shared task on abusive comment detection in
Tamil and Telugu codemixed social media text conducted as part of the third Workshop on …
Tamil and Telugu codemixed social media text conducted as part of the third Workshop on …
Transformer based hope speech comment classification in code-mixed text
Our research aims to describe Natural Language Processing (NLP) tasks aimed at hope
speech detection in social media code-mixed comments. Commentaries on social media …
speech detection in social media code-mixed comments. Commentaries on social media …
Map** homophobia and transphobia on social media
Introduction One of the consequences of the increase in the number of social network users
has been the inappropriate use of social networks by some of these users. Hate speeches …
has been the inappropriate use of social networks by some of these users. Hate speeches …
Overview of third shared task on homophobia and transphobia detection in social media comments
This paper provides a comprehensive summary of the “Homophobia and Transphobia
Detection in Social Media Comments” shared task, which was held at the LT-EDI@ EACL …
Detection in Social Media Comments” shared task, which was held at the LT-EDI@ EACL …
Mucs@ dravidianlangtech2023: Malayalam fake news detection using machine learning approach
Social media is widely used to spread fake news, which affects a larger population. So it is
considered as a very important task to detect fake news spread on social media platforms …
considered as a very important task to detect fake news spread on social media platforms …
[HTML][HTML] Conbert-rl: A policy-driven deep reinforcement learning based approach for detecting homophobia and transphobia in low-resource languages
In this work, we present a novel framework for discriminatory comment classification in
targeted low-resource languages thereby enabling identification of discriminatory comments …
targeted low-resource languages thereby enabling identification of discriminatory comments …
KaustubhSharedTask@ LT-EDI 2023: Homophobia-Transphobia Detection in Social Media Comments with NLPAUG-driven Data Augmentation
Abstract Our research in Natural Language Processing (NLP) aims to detect hate speech
comments specifically targeted at the LGBTQ+ community within the YouTube platform …
comments specifically targeted at the LGBTQ+ community within the YouTube platform …
VEL@ LT-EDI-2023: Automatic detection of hope speech in Bulgarian language using embedding techniques
Many people may find motivation in their lives by spreading content on social media that is
encouraging or hopeful. Creating an effective model that helps in accurately predicting the …
encouraging or hopeful. Creating an effective model that helps in accurately predicting the …
CSSCUTN@ DravidianLangTech: abusive comments detection in Tamil and Telugu
K Pannerselvam, S Rajiakodi… - Proceedings of the …, 2023 - aclanthology.org
Code-mixing is a word or phrase-level act of interchanging two or more languages during a
conversation or in written text within a sentence. This phenomenon is widespread on social …
conversation or in written text within a sentence. This phenomenon is widespread on social …