Mahbuba Tasmin

she/her

Ph.D. Candidate in Computer Science at UMass Amherst. My research integrates machine learning and computational biology to understand and predict antibiotic resistance in Mycobacterium tuberculosis.

Multi-Dimensional Aspect Analysis of Text Input through Human Emotion and Social Factors

Published in ACM International Joint Conference and Symposium on Pervasive and Ubiquitous Computing (UbiComp/ISWC '18 Adjunct), pp. 1779–1781, Singapore, 2018

Pilot study proposing an aspect-based sentiment-analysis approach that goes beyond polarity detection to capture why an opinion was expressed, structuring the influence of emotion and social/demographic factors on text-input response using Hidden Markov and latent Dirichlet allocation methods.

Recommended citation: Tasmin, M. Multi-Dimensional Aspect Analysis of Text Input through Human Emotion and Social Factors. In: UbiComp/ISWC'18 Adjunct. ACM (2018).
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