[HTML][HTML] How can we detect homophobia and transphobia? experiments in a multilingual code-mixed setting for social media governance

BR Chakravarthi, A Hande, R Ponnusamy… - International Journal of …, 2022 - Elsevier
Homophobia or Transphobia can be defined as the hatred, discomfort, or dislike of lesbian,
gay, transgender or bisexual people. Studies have shown that these individuals were more …

[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media

A Akhter, UK Acharjee, MA Talukder, MM Islam… - Natural Language …, 2023 - Elsevier
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …

[HTML][HTML] Detecting abusive comments at a fine-grained level in a low-resource language

BR Chakravarthi, R Priyadharshini, S Banerjee… - Natural Language …, 2023 - Elsevier
YouTube is a video-sharing and social media platform where users create profiles and
share videos for their followers to view, like, and comment on. Abusive comments on videos …

[HTML][HTML] Homophobia and transphobia detection for low-resourced languages in social media comments

PK Kumaresan, R Ponnusamy, R Priyadharshini… - Natural Language …, 2023 - Elsevier
People are increasingly sharing and expressing their emotions using online social media
platforms such as Twitter, Facebook, and YouTube. An abusive, hateful, threatening, and …

A survey of hate speech detection in Indian languages

A Nandi, K Sarkar, A Mallick, A De - Social Network Analysis and Mining, 2024 - Springer
With the enormous increase in accessibility of high-speed internet, the number of social
media users is increasing rapidly. Due to a lack of proper regulations and ethics, social …

Polyhope: Two-level hope speech detection from tweets

F Balouchzahi, G Sidorov, A Gelbukh - Expert Systems with Applications, 2023 - Elsevier
Hope is characterized as openness of spirit towards the future, a desire, expectation, and
wish for something to happen or to be true that remarkably affects human's state of mind …

Transformer based hope speech comment classification in code-mixed text

PK Kumaresan, R Ponnusamy, E Sherly… - … Conference on Speech …, 2022 - Springer
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 …

Multimodal hinglish tweet dataset for deep pragmatic analysis

Pratibha, A Kaur, M Khurana, R Damaševičius - Data, 2024 - mdpi.com
Wars, conflicts, and peace efforts have become inherent characteristics of regions, and
understanding the prevailing sentiments related to these issues is crucial for finding long …

[HTML][HTML] Conbert-rl: A policy-driven deep reinforcement learning based approach for detecting homophobia and transphobia in low-resource languages

VS Raj, CN Subalalitha, L Sambath, F Glavin… - Natural Language …, 2024 - Elsevier
In this work, we present a novel framework for discriminatory comment classification in
targeted low-resource languages thereby enabling identification of discriminatory comments …

VEL@ LT-EDI-2023: Automatic detection of hope speech in Bulgarian language using embedding techniques

R Ponnusamy, S Malliga, S Thavareesan… - Proceedings of the …, 2023 - aclanthology.org
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 …