Jasy Liew Suet Yan, Dr.

  • Jasy 

  • Senior Lecturer

    Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

    Tel : +604 653 4639
    Fax : +604 653 3335
    Room : 726

    School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang

    Research Cluster

    Data To Knowledge

  • Research Interest

    Sentiment Analysis, Natural Language Processing, Computational Linguistics, Text Mining, Social Media Analytics and Visualization, Machine Learning, Affective Computing, Artificial Intelligence, Human Computer Interaction, Information Science and Technology


    Textual Emotion Detection, Sentiment Analysis, Text Mining, Machine Learning, Natural Language Processing, Content Analysis, Web and Social Media Mining


BSc (Hons.), School of Computer Sciences, USM, Malaysia

MSc, School of Information Studies, SYRACUSE UNIVERSITY, USA

PhD, School of Information Studies, SYRACUSE UNIVERSITY, USA


My main research goals focus on: 
1) Developing computational models that can harnessing textual emotion signals to gain better insights on how people think and behave
2) Developing more emotion-sensitive systems to improve human-computer interactions

Projects of interest include but not limited to: emotion detection and classification from social media text and content, sentiment analysis on consumer reviews, developing machine learning and deep learning models for natural language processing and understanding, cryptocurrency price prediction using sentiment analysis, mental health detection and monitoring through social media, cyberbullying detection

** Currently looking for postgradaute students to work on cyberbullying detection from social media (PhD), sentiment analysis on product reviews (Masters) and machine learning to predict vaccine hesitancy (Masters). Please contact me via email if interested.    


Research Grants - PI

2020-2023: Ministry of Higher Education Transdiciplinary Research Grant Scheme (TRGS) (Primary Investigator). Project Title: A Two-pronged Approach in Drawing the Connection between Cyberbullying and Suicide among Adolescents in Malaysia. Co-researchers: Dr. Gan Keng Hoon, Dr. Noor Farizah Ibrahim, Dr. Azriani Ab Rahman, Dr. Asrenee Ab Razak, Dr. Tang Ying.

2020-2023: Ministry of Higher Education Fundamental Research Grant Scheme (FRGS) (Primary Investigator)Project Title: Enhancing Deep Learning Models using Weighted Greedy Algorithm for Cross-Domain Sentiment Classification of Product Reviews. Co-researchers: Dr. Cheah Yu-N, Dr. Lu Xiao.

2018-2021: L'Oréal-UNESCO for Women in Science National Fellowship 2017 (Primary Investigator). Project Title: Sad No More: Building Emotion Sensitive Systems to Detect and Prevent Depression.

 2018-2021: USM Short Term Grant (Primary Investigator). Project Title: Exploring Syntactic and Semantic Features for Fine-Grained Emotion Detection in Text. Co-researchers: Dr. Rosni Abdullah & Dr. Nor Athiyah Abdullah.

Research Grants - Co-Researcher

2020-2023: USM Short Term Grant (Co-researcher). Project Title: Development of an Mhealth Application for Video-observed Therapy (VOT) as an Alternative Treatment Monitoring of Tuberculosis Treatment in Kelantan. PI: Dr. Mohd Jazman Che Rahim.

2020-2022: USM Short Term Grant (Co-researcher). Project Title: Integrating Image Processing and Machine Learning to Identify Handwriting Features Useful for Automatic Screening of Autism Spectrum Disorder (ASD) among Children. PI: Dr. Nur Intan Raihana Ruhaiyem.

2017-2019: Research University Individual (RUI) Grant (Co-researcher). Project Title: Detection of user Opinion and Emotion in Online Product Reviews. PI: Dr. Cheah Yu-N. 

Community Engagement

2019-Ongoing: Girls2Code: Girls in ICT Campaign (Project Leader). Task Force: Dr. Teh Je Sen, Dr. Azleena Mohd Kassim, Dr. Nor Athiyah Abdullah, Dr. Rosni Abdullah, Mr. Kee Chong Wei. Collaborator: Telebort.  


[Google Scholar]


Liew, J. S. Y., & Turtle, H. R. (2021). Fine-grained emotion classification: Class imbalance effects on classifier performance. In Proceedings of the 2021 IEEE International Conference on Computer Information Sciences (ICCOINS), 74–79. [URL]

Lee, T. R., Teh, J. S., Jamil, N., Yan, J. L. S., & Chen, J. (2021). Lightweight block cipher security evaluation based on machine learning classifiers and active S-boxes. IEEE Access, 9, 134052–134064. [URL]

Idris, M. F., Teh, J. S., Liew, J. S. Y., & Yeoh, W.-Z. (2021). A deep learning approach for active S-box prediction of lightweight generalized Feistel block ciphers. IEEE Access, 9, 104205–104216. [URL]


Liew, J. S. Y., Teh, J. S., Kassim, A. M., Kee, C. W., & Abdullah, R. (2020). Girls2Code: Cultivating interest in programming among young girls in Malaysia by making drawings come to life. Science, Technology, Engineering and Mathematics Education for Girls and Women in Asia-Pacific. UNESCO. [URL]

Yong, K. S., & Liew, J. S. Y. (2020). A text augmentation approach using similarity measures based on neural sentence embeddings for emotion classification on microblogs. In Proceedings of the 2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2020). DOI: 10.1109/IICAIET49801.2020.9257826. [URL]

Gupta, A., Liew, J. S. Y., & Cheah, Y.-N. (2020). Going big and deep: Using convolutional neural network to leverage training data from multiple domains for cross-domain sentiment classification on product reviews. In Proceedings of the 2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2020). DOI: 10.1109/IICAIET49801.2020.9257815. [URL]

Lee, T. R., Teh, J. S., Liew, J. S. Y., Jamil, N., & Yeoh, W. Z. (2020). A machine learning approach to predicting block cipher security. In Proceedings of the 7th International Cryptology and Information Security Conference 2020, 122–132. [URL]


Liew, J. S. Y., & Turtle, H. R. (2019). Effect of sampling strategies on fine-grained emotion classification in microblog text. In Proceedings of the IEEE International Conference on Artificial Intelligence and Data Sciences (AiDAS2019). Ipoh, Perak, Malaysia. DOI: 10.1109/AiDAS47888.2019.8970953. [URL]


Liew, J. S. Y., & Zhang, P. (2017). Affect in the ICT Context. In Galliers, R. D., & Stein, M. K. (Eds.), The Routledge Companion to Management Information System (pp. 166-182). DOI: 10.4324/9781315619361. [URL]


Liew, J. S. Y., & Turtle, H. R. (2016). Exposing a set of fine-grained emotion categories from tweets. In Proceedings of the IJCAI 2016 4th Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2016) (pp. 8–14). New York City, New York, USA. [URL]

Liew, J. S. Y., & Turtle, H. R. (2016). Exploring fine-grained emotion detection in tweets. In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (pp. 73–80). San Diego, California, USA. DOI: 10.18653/v1/N16-2011. [URL]

Liew, J. S. Y., & Turtle, H. R. (2016). EmoCues-28: Extracting words from emotion cues for a fine-grained emotion lexicon. In Proceedings of the LREC 2016 Workshop on Emotion and Sentiment Analysis (pp. 40–47). Portorož, Slovenia. [URL]

Liew, J. S. Y., Turtle, H. R., & Liddy, E. D. (2016). EmoTweet-28: A fine-grained emotion corpus for sentiment analysis. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016) (pp. 1149–1156). Portorož, Slovenia. [URL]


Liew, J. S. Y. (2015). Discovering emotions in the wild: An inductive method to identify fine-grained emotion categories in tweets. In Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference (pp. 317-322). Hollywood, Florida, USA.


McCracken, N., Liew, J. S. Y., & Crowston, K. (2014). Design of an active learning system with human correction for content analysis. In Proceedings of the ACL 2014 Workshop on Interactive Language Learning, Visualization, and Interfaces (pp. 59-62). Baltimore, Maryland, USA. [URL]

Liew, J. S. Y., McCracken, N., Zhou, S., & Crowston, K. (2014). Optimizing features in active machine learning for complex qualitative content analysis. In Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science (pp. 44–48). Baltimore, Maryland, USA. [URL]

Liew, J. S. Y. (2014). Expanding the range of automatic emotion detection in microblogging text. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics (pp. 38–44). Gothenburg, Sweden. DOI: 10.3115/v1/E14-3005. [URL]

Liew, J. S. Y., McCracken, N., & Crowston, K. (2014). Semi-automatic content analysis of qualitative data. In iConference 2014 Proceedings (pp. 1128–1132). Berlin, Germany. DOI: https://doi.org/10.9776/14399. [URL]


Zhang, P., Liew, J. S. Y., & Hassman, K. D. (2013). The intellectual characteristics of the information field: Heritage and substance. Journal of the American Society for Information Science and Technology, 64(12), 2468–2491. DOI: https://doi.org/10.1002/asi.22941. [URL]

Liew, J. S. Y., Hassman, K., & Zhang, P. (2013). Conceptualizations of technology in the information field. In Proceedings of the American Society for Information Science and Technology, 50(1), (pp.1–3). Montreal, Quebec, Canada. DOI: https://doi.org/10.1002/meet.14505001132. [URL]


Liew, J. S. Y., & Kaziunas, E. (2012). What is a tweet worth? Measuring the value of social media for an academic institution. In Proceedings of the 2012 iConference (pp. 565–566). Toronto, Ontario, Canada. DOI: https://doi.org/10.1145/2132176.2132290. [URL]

Liew, J. S. Y., Haron, F., Alginahi, Y., & Kabir, M. (2012). A preliminary crowd monitoring framework for Al- Masjid Al-Haram. In Proceedings of the 1st Taibah University International Conference on Computing and Information Technology (ICCIT 2012), Vol. 1 & 2 (pp. 111-116). Al-Madinah Al-Munawwarah, Saudi Arabia.


Hussain, N., Yatim, H. S. M., Hussain, N. L., Liew, J. S. Y., & Haron, F. (2011). CDES: A pixel-based crowd density estimation system for Masjid al-Haram. Safety Science, 49(6), 824–833. DOI: https://doi.org/10.1016/j.ssci.2011.01.005. [URL]

Liew, J. S. Y., Kaziunas, E., Liu, J., & Zhuo, S. (2011). Socially-interactive dressing room: An iterative evaluation on interface design. In Proceedings of the 2011 Annual Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA 2011 (pp. 2023–2028). Vancouver, British Columbia, Canada. DOI: https://doi.org/10.1145/1979742.1979925. [URL]



Liu Minkang (Main SV: Ongoing)

Wan Ahmad Luqman bin Wan Ibrisam Fikry (Main SV: Ongoing)

Wong Hung Hing (Main SV: Ongoing)

Aditi Gupta (Co-SV: Graduated)

Master (Research)

Haitao Zhao (Main SV: Ongoing)

Lim Ying Hao (Main SV: Graduated)

Heng Yew Ken (Main SV: Graduated)

Yong Kuan Shyang (Main SV: Graduated)

Siti Aisyah Binti Mohd Fadhli (Co-SV: Graduated)

Master (Mixed-Mode)

Lee Su Siew (Graduated-2022): Word Sequence Emotion Classification for Storybook using Conditional Random Field

Sia Wan Yu (Graduated-2022): The Effects of Word Embeddings on Emotion Classifiers for Product Reviews

Khalaf Ayah M M (Graduated-2021): Predicting Depth-of-Knowledge based on Cognitive Processes using Machine Learning

Regina Ang Jing Wen (Graduated-2021): Analyzing Emojis in Tweets for Suicide Prediction among Celebrities using Machine Learning

Wong Hung Hing (Graduated-2021): Exploring General and Personal Models for Emoji Prediction with Ensemble Learning

Prasad A/L Madhavan (Graduated-2020): Exploring Syntactic and Semantic Features Representing Emotion Experiencer and Stimulus for Fine-grained Emotion Classification in Microblog Text

Master (Coursework-Data Science Practicum)

Lavinia Ho Pei Xian (Graduated-2022) | Mat Jasri Bin Mat Jiran (Graduated-2022) | Wong Yi Theng (Graduated-2022)

Sivanesan A/L Parasuraman (Graduated-2021) | Wong Shee Kian (Graduated-2021) | Yee Cong Jie (Graduated-2021) | Iswarya (Graduated-2021)

Elvis Yoon Yu Jing (Graduated-2020) | Chia Jia Tian (Graduated-2019) | Law Xin Yuan (Graduated-2018)


Undergraduate Courses:

Database Organization and Design (CMT221/CMM222) 

Principles of Programming (CPT111) 

Master Courses:

Machine Learning (CDS503) 

Recognition & Leadership

Awards & Recognition

2019 : Women of the Future Awards Southeast Asia 2019 (Science, Technology & Digital Category)

2018 : Prestige Malaysia 2018 40 under 40

2017 : L'Oréal-UNESCO for Women in Science National Fellowship Award 2017

2017 : iSchools Doctoral Dissertation Award 2017 (Runner-Up)

2016 : Syracuse University iSchool 2016 Doctoral Prize


Professional Trainer (HRDF-Certified TTT/23893): R for Data Science, Python and Social Media Analytics

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School of Computer Sciences, Universiti Sains Malaysia, 11800 USM Penang, Malaysia
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