@inproceedings{jayaraman-etal-2025-analysisarchitects,
title = "{A}nalysis{A}rchitects@{D}ravidian{L}ang{T}ech 2025: {BERT} Based Approach For Detecting {AI} Generated Product Reviews In {D}ravidian Languages",
author = "Jayaraman, Abirami and
Shanmugam, Aruna Devi and
Sasikumar, Dharunika and
B, Bharathi",
editor = "Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Madasamy, Anand Kumar and
Thavareesan, Sajeetha and
Sherly, Elizabeth and
Rajiakodi, Saranya and
Palani, Balasubramanian and
Subramanian, Malliga and
Cn, Subalalitha and
Chinnappa, Dhivya",
booktitle = "Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages",
month = may,
year = "2025",
address = "Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.dravidianlangtech-1.104/",
doi = "10.18653/v1/2025.dravidianlangtech-1.104",
pages = "609--613",
ISBN = "979-8-89176-228-2",
abstract = "The shared task on Detecting AI-generated Product Reviews in Dravidian Languages is aimed at addressing the growing concern of AI-generated product reviews, specifically in Malayalam and Tamil. As AI tools become more advanced, the ability to distinguish between human-written and AI-generated content has become increasingly crucial, especially in the domain of online reviews where authenticity is essential for consumer decision-making. In our approach, we used the ALBERT, IndicBERT, and Support Vector Machine (SVM) models to classify the reviews. The results of our experiments demonstrate the effectiveness of our methods in detecting AI-generated content."
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%0 Conference Proceedings
%T AnalysisArchitects@DravidianLangTech 2025: BERT Based Approach For Detecting AI Generated Product Reviews In Dravidian Languages
%A Jayaraman, Abirami
%A Shanmugam, Aruna Devi
%A Sasikumar, Dharunika
%A B, Bharathi
%Y Chakravarthi, Bharathi Raja
%Y Priyadharshini, Ruba
%Y Madasamy, Anand Kumar
%Y Thavareesan, Sajeetha
%Y Sherly, Elizabeth
%Y Rajiakodi, Saranya
%Y Palani, Balasubramanian
%Y Subramanian, Malliga
%Y Cn, Subalalitha
%Y Chinnappa, Dhivya
%S Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
%D 2025
%8 May
%I Association for Computational Linguistics
%C Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico
%@ 979-8-89176-228-2
%F jayaraman-etal-2025-analysisarchitects
%X The shared task on Detecting AI-generated Product Reviews in Dravidian Languages is aimed at addressing the growing concern of AI-generated product reviews, specifically in Malayalam and Tamil. As AI tools become more advanced, the ability to distinguish between human-written and AI-generated content has become increasingly crucial, especially in the domain of online reviews where authenticity is essential for consumer decision-making. In our approach, we used the ALBERT, IndicBERT, and Support Vector Machine (SVM) models to classify the reviews. The results of our experiments demonstrate the effectiveness of our methods in detecting AI-generated content.
%R 10.18653/v1/2025.dravidianlangtech-1.104
%U https://aclanthology.org/2025.dravidianlangtech-1.104/
%U https://doi.org/10.18653/v1/2025.dravidianlangtech-1.104
%P 609-613
Markdown (Informal)
[AnalysisArchitects@DravidianLangTech 2025: BERT Based Approach For Detecting AI Generated Product Reviews In Dravidian Languages](https://aclanthology.org/2025.dravidianlangtech-1.104/) (Jayaraman et al., DravidianLangTech 2025)
ACL
- Abirami Jayaraman, Aruna Devi Shanmugam, Dharunika Sasikumar, and Bharathi B. 2025. AnalysisArchitects@DravidianLangTech 2025: BERT Based Approach For Detecting AI Generated Product Reviews In Dravidian Languages. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 609–613, Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico. Association for Computational Linguistics.