Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

T Mahmud, M Ptaszynski, J Eronen, F Masui - Information Processing & …, 2023 - Elsevier
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …

Overview of the shared task on homophobia and transphobia detection in social media comments

BR Chakravarthi, R Priyadharshini… - Proceedings of the …, 2022 - aclanthology.org
Abstract Homophobia and Transphobia Detection is the task of identifying homophobia,
transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and …

Offensive language detection in Tamil YouTube comments by adapters and cross-domain knowledge transfer

M Subramanian, R Ponnusamy, S Benhur… - Computer Speech & …, 2022 - Elsevier
Over the past few years, researchers have been focusing on the identification of offensive
language on social networks. In places where English is not the primary language, social …

Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data

K Shanmugavadivel, VE Sathishkumar, S Raja… - Scientific Reports, 2022 - nature.com
Sentiment analysis is a process in Natural Language Processing that involves detecting and
classifying emotions in texts. The emotion is focused on a specific thing, an object, an …

[PDF][PDF] Findings of the shared task on Emotion Analysis in Tamil

B Sean - Proceedings of the Second Workshop on Speech and …, 2022 - ir.psgcas.ac.in
This paper presents the overview of the shared task on emotional analysis in Tamil at
DravidianLangTech-ACL 2022. This overview paper presents the dataset used in the shared …

Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments

M Ravikiran, BR Chakravarthi, AK Madasamy… - arxiv preprint arxiv …, 2022 - arxiv.org
Offensive content moderation is vital in social media platforms to support healthy online
discussions. However, their prevalence in codemixed Dravidian languages is limited to …

SSNCSE NLP@ TamilNLP-ACL2022: Transformer based approach for detection of abusive comment for Tamil language

B Bharathi, J Varsha - Proceedings of the Second Workshop on …, 2022 - aclanthology.org
Social media platforms along with many other public forums on the Internet have shown a
significant rise in the cases of abusive behavior such as Misogynism, Misandry …

Overview of abusive comment detection in Tamil-ACL 2022

R Priyadharshini, BR Chakravarthi, S Cn… - Proceedings of the …, 2022 - aclanthology.org
The social media is one of the significantdigital platforms that create a huge im-pact in
peoples of all levels. The commentsposted on social media is powerful enoughto even …

Hottest: Hate and offensive content identification in Tamil using transformers and enhanced stemming

R Rajalakshmi, S Selvaraj, P Vasudevan - Computer Speech & …, 2023 - Elsevier
Offensive content or hate speech is defined as any form of communication that aims to
annoy, harass, disturb, or anger an individual or community based on factors such as faith …

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 …