Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)

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Comparative Study of Deep Learning Models for Sentiment Analysis of South Indian Restaurant Reviews

Authors
G. S. Mahalakshmi1, *, S. Sendhilkumar2, Safiya Fathima Syed3, Diya Dhandapani Shanmugam4
1Dept. of Computer Science and Engineering, College of Engineering Guindy, Chennai, India
2Dept. of Information Science and Technology, College of Engineering Guindy, Chennai, India
3Dept. of Computer Science and Engineering, College of Engineering Guindy, Chennai, India
4Dept. of Computer Science and Engineering, College of Engineering Guindy, Chennai, India
*Corresponding author. Email: gsmaha@annauniv.edu
Corresponding Author
G. S. Mahalakshmi
Available Online 31 March 2026.
DOI
10.2991/978-94-6239-616-6_70How to use a DOI?
Keywords
Sentiment Analysis; Deep Learning; BiLSTM; BiGRU; Attention Mechanism; BERT; GloVe
Abstract

Sentiment analysis is an automated methodology for identifying opinions or emotions articulated within textual data. With the proliferation of online platforms for sharing dining experiences, restaurant reviews offer valuable insights for both businesses and consumers. This study concentrates on the sentiment analysis of reviews South Indian restaurants sourced from India, the UAE, and England. Deep learning models including Bidirectional LSTM (BiLSTM) and Bidirectional GRU (BiGRU), both with and without attention mechanisms, are utilized and their performance is compared across GloVe, BERT, and DistilBERT embeddings. Experimental outcomes indicate that GloVe and BERT embed- dings integrated with BiLSTM or BiGRU models produce high accuracy. The application of attention mechanisms contributes to further performance gains, with maximum accuracy reaching approximately 95%. The comparative study reinforces the importance of an informed model and embedding choices in domain-specific sentiment analysis.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 March 2026
ISBN
978-94-6239-616-6
ISSN
1951-6851
DOI
10.2991/978-94-6239-616-6_70How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - G. S. Mahalakshmi
AU  - S. Sendhilkumar
AU  - Safiya Fathima Syed
AU  - Diya Dhandapani Shanmugam
PY  - 2026
DA  - 2026/03/31
TI  - Comparative Study of Deep Learning Models for Sentiment Analysis of South Indian Restaurant Reviews
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 939
EP  - 949
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_70
DO  - 10.2991/978-94-6239-616-6_70
ID  - Mahalakshmi2026
ER  -