Assistant Professor

Dr Paramita Ray

Department of Computer Science and Engineering

Interests

  1. Natural Language Processing (NLP), Social Media Analysis
  2. Text Analysis with Large Language Models (LLMs)
  3. Time Series Forecasting

Education

2005

St. Xaviers College

MCA

2013

University of Calcutta
Hyderabad
M.Tech

2024

University of Calcutta

Ph.D.

Experience

  • 04/03/2024- 31/05/2025 – Senior Researcher - GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany
  • 03/04/2024-25/06/2025 – Associate Professor – Dinabandhu Andrews Institute of Technology & Management, Kolkata, India
  • 10/08/2015-02/04/2024 - Assistant Professor - Dinabandhu Andrews Institute of Technology & Management, Kolkata, India
  • 01/04/2014-30/06/2014 - Research Assistant - ISIM - International School of Information Management, University of Mysore, India
  • 04/04/2013-08/06/2015 - Assistant Professor - SBIHM School of Management
  • 04/07/2005-28/09/2010- Web Developer - Limtex Infotech Pvt. Limited

Research Interests

  • Text Mining for Social Media Analysis
  • Information Retrieval using Deep Neural Network
  • Multimodal NLP (Natural Language Processing) for Sentiment Analysis
  • Cross-lingual NLP (Natural Language Processing), Generative AI for Text Generation, and Large Language Models (LLMs)
  • Time-Series Forecasting using Bayesian Structural Time Series

Awards & Fellowships

  • 2025 Invited Talk, VaLiSTAD workshop, Aalborg University, Copenhagen, Denmark
  • 2025 Post Doctoral Research Training Fellowship (MSCA), University of Malta, Malta
  • 2024 Senior Research Fellowship for research project KODAQS from GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany
  • Conference Best Paper Award ICASTT 2021

Publications

  • Ray, Paramita, and Amlan Chakrabarti. "A mixed approach of deep learning method and rule- based method to improve aspect level sentiment analysis." Applied Computing and Informatics, Elsevier 18.1/2 (2022): 163-178
  • Ray P, Ganguli B, Chakrabarti A. "A hybrid approach of Bayesian structural time series with LSTM to identify the influence of news sentiment on short-term forecasting of stock price". IEEE Transactions on Computational Social Systems. 2021 Jun 8;8(5):1153-62.
  • Ray P, Ganguli B, Chakrabarti A. Multivariate Bayesian Time Series Model with Multi-Temporal Convolution Network for Forecasting Stock Market during Covid-19 Pandemic. International Journal of Computational Intelligence System, Springer Nature 27 June 2024 Volume 17, article number 170, (2024)
  • Ray P, Chakrabarti A, Ganguli B, Das PK. " Demonetization and its aftermath: an analysis based on Twitter sentiments". Sādhanā. Springer 2018 Nov;43: 1-0.
  • Ray, Paramita. "Document Level Sentiment Analysis for Product Review using Dictionary Based Approach." SSRG International Journal of Computer Science and Engineering, 4(6), 24-29, 2017.
  • Ray, P., Quantum simulation of Dijkstra’s algorithm." International Journal of Advance Research in Computer Science and Management Studies [IJARCSMS] 2(2014): 30-43"
  • Ray, Paramita. "Decomposition of Quantum Gates with Primitives Quantum Operations. " International Journal of Advanced Research in Computer Science 7.1 (2016).
  • Ray, Paramita, and Amlan Chakrabarti. "Twitter sentiment analysis for product review using lexicon method." 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI). IEEE, 2017.
  • Ray P, Ghosh M, “Water Withdrawal Trends Across Multiple UN Member Nations using ARIMA Model”, Climate change Management (Springer Book Series) Accepted
  • Ray, P., & Chakrabarti, A. (2023). " Popular Events Detection from Blogs/Forums and Analyzing the Pattern of Users' Opinion with Stock Market Movement." (Preprint Version) DOI: https://doi.org/10.21203/rs.3.rs-3258013/v1
  • Ray, Paramita. S. Roy "Impact Analysis of Natural Herb on Streptozotocin-Induced Diabetic Rats using Machine Learning Method." (2024).
    https://europepmc.org/article/ppr/ppr864288
  • Ray, P., A Basu “Context-Aware Search: LLM-Driven Query Expansion for Emerging Topics”
    Preprint version, https://doi.org/10.21203/rs.3.rs-6042607/v1

Contact Details

E-mail id: paramita.r@srmap.edu.in

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