Naresh Kumar K E

Naresh Kumar K E

Assistant Professor

Education

Ph. D.

Dr. K E Naresh Kumar is from Kurnool in Andhra Pradesh. He has a Ph.D from Pondicherry Central University. He was qualified UGC NET Lectureship in 2012. His research interests lie in Machine Learning, Deep Learning, Natural Language Processing, Sentiment Analysis and Data Mining studies.

Research Publications

  • KE Naresh Kumar, V Uma, Intelligent sentinet-based lexicon for context-aware sentiment analysis: optimized neural network for sentiment classification on social media, The Journal of Supercomputing 77 (11), 12801-12825
  • KE Naresh Kumar, V Uma, Need for Hybrid Lexicon Based Context Aware Sentiment Analysis for Handling Uncertainty—An Experimental Study, 2020 International Conference Emerging Trends in Electrical, Communications, and Information Technologies: Proceedings of ICECIT-2018, 117-124, Springer Singapore.
  • K.E. Naresh Kumar, M. Sravan Kumar Reddy, Dharmendra Singh Rajput, Improving ADA-boost as a Popular Ensemble in Classification Problems, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-9S3, July 2019
  • KE Naresh Kumar, V Uma, An Experimental Study of Hybrid Lexicon based Context Aware Sentiment Analysis, Second International Conference on Emerging Trends in Engineering, Sciences & Management – 2018 (ICEESM’18) 21st & 22nd December 2018, RGM College of Engineering & Technology, Nandyal, A.P., India
  • K.E. Naresh Kumar; Avanija J; Kumari, Ch Usha ; Jyothi, G. Naga ; Raju, K. Srujan ; Madhavi, K. Reddy, Enhancing Network Forensic and Deep Learning Mechanism for Internet of Things Networks, Journal of Scientific and Industrial Research, Volume 82, Issue 5, Pages 522 - 528, May 2023

Expertise

  • Check Icon Context Aware Sentiment Analysis
  • Check Icon Lexicon Construction for Sentiment Analysis
  • Check Icon Optimization of Neural Networks
  • Check Icon Machine Learning Applications
  • Check Icon Deep Learning Applications

Authored Books

  • Check Icon Practicalities of Machine Learning for beginners and experienced professionals
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