Daw Win Lei Kay Khine

Degree

:

M.C. Sc (UCSY)

Rank

:

Lecturer

Faculty

:

Department of Information Technology Supporting and Maintenance

Address

:

University of Computer Studies, Hintada

Email

:

winleikaykhineucsy@gmail.com, winlaikaykhaing@ucsh.edu.mm

Academic Qualifications

  • B.C. Sc, University of Computer Studies, Yangon (2006)
  • B.C. Sc (Hons:) University of Computer Studies, Yangon (2007)
  • M.C. Sc, University of Computer Studies, Yangon (Feb 2010)

Academic Dissertation

Master Dissertation

  • Online Buying in Virtual Cosmetic Marketplace Using Recommender System, The Fourth Conference on Parallel & Soft Computing 2009, University of Computer Studies, Yangon, Myanmar, December 30, 2009.

List of Publications                                                                                         

  1. “Feature Extraction Method for Aspect-Based Sentiment Analysis”, The 1st International Conference on Advanced Information Technologies, 2017, University of Information Technology, Yangon, Myanmar, November 1st – 2nd, 2017.
  2. “Sentiment Aware Word Embedding Approach for Sentiment Analysis”, The 2nd International Conference on Advanced Information Technologies, 2018, University of Information Technology, Yangon, Myanmar, November 1-2, 2018.
  3. “Aspect Level Sentiment Analysis for Different Domains using Deep Learning”, Myanmar Universities' Research Conference 2019, Volume 1, Issue 2, May 24-25, 2019.
  4. “Design and Implementation of Automated Grade Point Average Calculator Based on JAVA RMI”, 2nd University Conference on Science, Engineering and Research (UCSER), August 17, 2019.
  5. “Applying Deep Learning Approach to Targeted Aspect-based Sentiment Analysis for Restaurant Domain”, The 3rd International Conference on Advanced Information Technologies, 2019, University of Information Technology, Yangon, Myanmar, November 6-7, 2019.
  6. “Design and Implementation of E-Commerce System using Cassandra NoSQL Database”, University Journal of Research, and Innovation (UJRI), December 2019.
  7. “Multi-Aspect Attention Model for Aspect-based Sentiment Classification using Deep Learning”, The 4th International Conference on Advanced Information Technologies 2020, University of Information Technology, Yangon, Myanmar, November 4-5, 2020.
  8. “Aspect Level Sentiment Analysis using Bi-directional LSTM Encoder with the Attention Mechanism”, 12th International Conference on Computational Collective Intelligence, ICCCI 2020, Lecture Notes in Artificial Intelligence (LNAI) 12496, pp. 279-292, ©Springer Nature Switzerland AG 2020. Chapter 22, Da Nang, Vietnam, November 30 - December 3, 2020. https://doi.org/10.1007/978-3-030-63007-2.