Ghosal, Tirthankar

Peer review analyze: A novel benchmark resource for computational analysis of peer reviews

Ghosal, T., Kumar, S., Bharti, P. K., & Ekbal, A. (2022) · PLOS ONE

Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods

Cited by 66

DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions

Ghosal, T., Verma, R., Ekbal, A., & Bhattacharyya, P. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Sentiment Analysis and Opinion MiningRecommender Systems and Techniques

Cited by 62

PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions

Bharti, P. K., Ranjan, S., Ghosal, T., Agrawal, M., & Ekbal, A. (2021) · Lecture Notes in Computer Science

Academic Writing and PublishingRecommender Systems and Techniques

Cited by 16

A Deep Neural Architecture for Decision-Aware Meta-Review Generation

Kumar, A., Ghosal, T., & Ekbal, A. (2021) · 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 15

The lack of theory is painful: Modeling Harshness in Peer Review Comments

Verma, R., Roychoudhury, R., & Ghosal, T. (2022) · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningDiscourse Analysis in Language Studies

Cited by 5

‘Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews

Kumar, S., Sahu, M., Gacche, V., Ghosal, T., & Ekbal, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 5