International Journals

•  Mitra, S., & Jenamani, M. (2020). OBIM: A computational model to estimate brand image from online consumer review. Journal of Business Research, 114, 213-226.  DOI: https://doi.org/10.1016/j.jbusres.2020.04.003
•  Mitra, S., & Jenamani, M. (2021). Helpfulness of online consumer reviews: A multi-perspective approach. Information Processing & Management, 58(3), 102538. DOI: https://doi.org/10.1016/j.ipm.2021.102538

Conferences

• Mitra, S., & Jenamani, M. (2018). SentiCon: A Concept Based Feature Set for Sentiment Analysis. 2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS), 246–250. IEEE.
• Mitra, S., & Jenamani, M. (2020). A Method to Estimate Perceived Quality and Perceived Value of Brands to Make Purchase Decision Using Aspect-Based Sentiment Analysis. In Innovations in Computer Science and Engineering (pp. 447–454). Springer.
• Mitra, S., & Jenamani, M. (2020). Hybrid improved document-level embedding (hide). arXiv Preprint arXiv:2006. 01203.
• Mitra, S., & Jenamani, M. (2021). An Approach to Identify Provocative and Problematic Content with Social Nociceptor. Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD), 433–433.
• Mitra, S., & Jv, K. R. (2021). Experiments on Fraud Detection use case with QML and TDA Mapper. 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), 471–472. IEEE.
• Ananthakrishnan, G., Jayaraman, A. K., Trueman, T. E., Mitra, S., Abinesh, A. K., & Murugappan, A. (2022). Suicidal Intention Detection in Tweets Using BERT-Based Transformers. 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 322–327. IEEE.
• Trueman, T. E., Jayaraman, A. K., Cambria, E., Ananthakrishnan, G., & Mitra, S. (2022). An N-gram-Based BERT model for Sentiment Classification Using Movie Reviews. 2022 International Conference on Artificial Intelligence and Data Engineering (AIDE), 41–46. IEEE.
• Trueman, T., Murugappan, A., Cambria, E., Mitra, S., & Others. (n.d.). A Hybrid Ai Framework for Multi-Label Toxicity Category Detection.
• Jayaraman, A. K., Trueman, T. E., Ananthakrishnan, G., Mitra, S., Liu, Q., & Cambria, E. (2022). Sarcasm Detection in News Headlines using Supervised Learning. 2022 International Conference on Artificial Intelligence and Data Engineering (AIDE), 288–294. IEEE.