Dr Poornima Mehta completed her PhD in Computer Science from Jaypee Institute of Information Technology, Noida in 2019. Before that she completed her MSc in Maths followed by MTech in Computer Applications in 1990 (both from IIT Delhi).
Currently working as a Professor in IT department of NIET, Greater Noida. She worked as an Associate Professor in the Department of Computer Science of JSS, Noida for 9 years. Before joining academics, she worked in the software industry for 14 years. Of which she served 5 years in the R & D Division of Centre for Railway Information Systems, Delhi and 7 years in TCS, Noida, where she handled large projects. Her areas of interest include NLP, AI and software engineering.
Research
Natural Language Processing
Key Publications
- Mehta P., Chandra S. (2017), “Enhancement of SentiWordNet using Contextual Valence Shifters”, International Journal of Data Analysis Techniques and Strategies: vol.(4), pp.337-355, DOI: 10.1504/IJDATS.2019.103758
- Mehta P., & Chandra, S. (2019), “NICFS-A Novel Feature Selection Method Applied to Lexicon based Sentiment Analysis” , Intelligent Decision Technologies: vol. 13(1), pp. 41-48, 2019, DOI: 10.3233/IDT-190361
- Mehta P., Chandra, S. (January 2021) “Robustness and predictive performance of homogeneous ensemble feature selection in text classification”, International Journal of Information Retrieval Research. vol 11, Issue 1
- Mehta P., Chandra, S.(2015) “Parameter tuning in updating the sentiment polarity of objective words in Sent WordNet”, In 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS) (pp.251-256),2015, DOI:10.1109/RAICS.2015.7488423