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T. Santhanakrishnan
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2020 – today
- 2023
- [j8]Hema Krishnan, M. Sudheep Elayidom, T. Santhanakrishnan:
Weighted holoentropy-based features with optimised deep belief network for automatic sentiment analysis: reviewing product tweets. J. Exp. Theor. Artif. Intell. 35(5): 679-707 (2023) - [j7]Seema Safar, Babita Roslind Jose, T. Santhanakrishnan:
Enriching Aspect-based Recommendation System using Social Relation-Item Interaction. J. Inf. Sci. Eng. 39(3): 609-621 (2023) - 2022
- [j6]Hema Krishnan, M. Sudheep Elayidom, T. Santhanakrishnan:
Sentiment analysis of product reviews using weighted distance-based whale optimisation assisted deep belief network. Int. J. Bus. Inf. Syst. 39(2): 241-277 (2022) - [j5]Hema Krishnan, M. Sudheep Elayidom, T. Santhanakrishnan:
A Comprehensive Survey on Sentiment Analysis in Twitter Data. Int. J. Distributed Syst. Technol. 13(5): 1-22 (2022) - [j4]S. Vijayan Pillai, T. Santhanakrishnan, N. Suresh Kumar, R. Rajesh:
Product beamforming and nested array in tandem for enhanced sonar performance. Multidimens. Syst. Signal Process. 33(3): 879-898 (2022) - 2021
- [j3]Hema Krishnan, M. Sudheep Elayidom, T. Santhanakrishnan:
Optimization Assisted Convolutional Neural Network for Sentiment Analysis with Weighted Holoentropy-based Features. Int. J. Inf. Technol. Decis. Mak. 20(4): 1261-1297 (2021) - 2020
- [j2]Soumya George, M. Sudheep Elayidom, T. Santhanakrishnan:
A Novel Sequence Graph-Based Approach to Find Academic Research Trends. Int. J. Web Portals 12(1): 45-56 (2020)
2010 – 2019
- 2019
- [j1]Soumya George, M. Sudheep Elayidom, T. Santhanakrishnan:
A Novel Approach to Find Author's Research Areas of Interests Using Graph Database. Int. J. Web Portals 11(2): 67-74 (2019)
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