Papers
One_by_zero@DravidianLangTech 2025: Fake News Detection in Malayalam Language Leveraging Transformer-based Approach
Dola Chakraborty, Shamima Afroz, Jawad Hossain et al.
Fired_from_NLP@DravidianLangTech 2025: A Multimodal Approach for Detecting Misogynistic Content in Tamil and Malayalam Memes
Md. Sajid Alam Chowdhury, Mostak Mahmud Chowdhury, Anik Mahmud Shanto et al.
SSNTrio @ DravidianLangTech 2025: Hybrid Approach for Hate Speech Detection in Dravidian Languages with Text and Audio Modalities
J Bhuvana, Mirnalinee T T, Rohan R et al.
LexiLogic@DravidianLangTech 2025: Detecting Fake News in Malayalam and AI-Generated Product Reviews in Tamil and Malayalam
Souvik Bhattacharyya, Pranav Gupta, Niranjan Kumar M et al.
CUET-NLP_Big_O@DravidianLangTech 2025: A BERT-based Approach to Detect Fake News from Malayalam Social Media Texts
Nazmus Sakib, Md. Refaj Hossan, Alamgir Hossain et al.
LexiLogic@DravidianLangTech 2025: Detecting Misogynistic Memes and Abusive Tamil and Malayalam Text Targeting Women on Social Media
Niranjan Kumar M, Pranav Gupta, Billodal Roy et al.
CUET-NLP_Big_O@DravidianLangTech 2025: A Multimodal Fusion-based Approach for Identifying Misogyny Memes
Md. Refaj Hossan, Nazmus Sakib, Md. Alam Miah et al.
CUET-NLP_MP@DravidianLangTech 2025: A Transformer and LLM-Based Ensemble Approach for Fake News Detection in Dravidian
Md Minhazul Kabir, Md. Mohiuddin, Kawsar Ahmed et al.
SSNTrio@DravidianLangTech2025: LLM Based Techniques for Detection of Abusive Text Targeting Women
Mirnalinee T T, J Bhuvana, Avaneesh Koushik et al.
shimig@DravidianLangTech2025: Stratification of Abusive content on Women in Social Media
Gersome Shimi, Jerin Mahibha C, Thenmozhi Durairaj
MNLP@DravidianLangTech 2025: Transformers vs. Traditional Machine Learning: Analyzing Sentiment in Tamil Social Media Posts
Abhay Vishwakarma, Abhinav Kumar
CUET_Absolute_Zero@DravidianLangTech 2025: Detecting AI-Generated Product Reviews in Malayalam and Tamil Language Using Transformer Models
Anindo Barua, Sidratul Muntaha, Momtazul Arefin Labib et al.
CUET_Ignite@DravidianLangTech 2025: Detection of Abusive Comments in Tamil Text Using Transformer Models
MD.Mahadi Rahman, Mohammad Minhaj Uddin, Mohammad Shamsul Arefin
codecrackers@DravidianLangTech 2025: Sentiment Classification in Tamil and Tulu Code-Mixed Social Media Text Using Machine Learning
Lalith Kishore V P, Dr G Manikandan, Mohan Raj M A et al.
Team ML_Forge@DravidianLangTech 2025: Multimodal Hate Speech Detection in Dravidian Languages
Adnan Faisal, Shiti Chowdhury, Sajib Bhattacharjee et al.
DLRG@DravidianLangTech 2025: Multimodal Hate Speech Detection in Dravidian Languages
Ratnavel Rajalakshmi, Ramesh Kannan, Meetesh Saini et al.
RATHAN@DravidianLangTech 2025: Annaparavai - Separate the Authentic Human Reviews from AI-generated one
Jubeerathan Thevakumar, Luheerathan Thevakumar
NLP_goats_DravidianLangTech_2025__Detecting_AI_Written_Reviews_for_Consumer_Trust
Srihari V K, Vijay Karthick Vaidyanathan, Mugilkrishna D U et al.
Cognitext@DravidianLangTech2025: Fake News Classification in Malayalam Using mBERT and LSTM
Shriya Alladi, Bharathi B
HerWILL@DravidianLangTech 2025: Ensemble Approach for Misogyny Detection in Memes Using Pre-trained Text and Vision Transformers
Neelima Monjusha Preeti, Trina Chakraborty, Noor Mairukh Khan Arnob et al.
NLP_goats@DravidianLangTech 2025: Towards Safer Social Media: Detecting Abusive Language Directed at Women in Dravidian Languages
Vijay Karthick Vaidyanathan, Srihari V K, Thenmozhi Durairaj
NLP_goats@DravidianLangTech 2025: Detecting Fake News in Dravidian Languages: A Text Classification Approach
Srihari V K, Vijay Karthick Vaidyanathan, Thenmozhi Durairaj
SSNTrio@DravidianLangTech 2025: Sentiment Analysis in Dravidian Languages using Multilingual BERT
J Bhuvana, Mirnalinee T T, Diya Seshan et al.
SSNTrio@DravidianLangTech 2025: Identification of AI Generated Content in Dravidian Languages using Transformers
J Bhuvana, Mirnalinee T T, Rohan R et al.
Hermes@DravidianLangTech 2025: Sentiment Analysis of Dravidian Languages using XLM-RoBERTa
Emmanuel George P, Ashiq Firoz, Madhav Murali et al.