A Novel Approach to Find Author's Research Areas of Interests Using Graph Database. - Soumya George; M. Sudheep Elayidom; T. Santhanakrishnan (Int. J. Web Portals, 2019)

A Novel Sequence Graph-Based Approach to Find Academic Research Trends. - Soumya George; M. Sudheep Elayidom; T. Santhanakrishnan (Int. J. Web Portals, 2020)

Optimization Assisted Convolutional Neural Network for Sentiment Analysis with Weighted Holoentropy-based Features. - Hema Krishnan; M. Sudheep Elayidom; T. Santhanakrishnan (Int. J. Inf. Technol. Decis. Mak., 2021)

Sentiment analysis of product reviews using weighted distance-based whale optimisation assisted deep belief network. - Hema Krishnan; M. Sudheep Elayidom; T. Santhanakrishnan (Int. J. Bus. Inf. Syst., 2022)

A Comprehensive Survey on Sentiment Analysis in Twitter Data. - Hema Krishnan; M. Sudheep Elayidom; T. Santhanakrishnan (Int. J. Distributed Syst. Technol., 2022)

Product beamforming and nested array in tandem for enhanced sonar performance. - S. Vijayan Pillai; T. Santhanakrishnan; N. Suresh Kumar; R. Rajesh (Multidimens. Syst. Signal Process., 2022)

Enriching Aspect-based Recommendation System using Social Relation-Item Interaction. - Seema Safar; Babita Roslind Jose; T. Santhanakrishnan (J. Inf. Sci. Eng., 2023)

Weighted holoentropy-based features with optimised deep belief network for automatic sentiment analysis: reviewing product tweets. - Hema Krishnan; M. Sudheep Elayidom; T. Santhanakrishnan (J. Exp. Theor. Artif. Intell., 2023)

Recommendation systems with LLM-based semantic embeddings and FAISS similarity search. - Seema Safar; Babita Roslind Jose; Jimson Mathew; T. Santhanakrishnan (Neurocomputing, 2025)