M. Hardyman Barawi
TitleCited byYear
Evaluation of resource creations accuracy by using sentiment Analysis
MH Barawi, YY Seng
Procedia-Social and Behavioral Sciences 97, 522-527, 2013
42013
Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences
EE Ibeke, C Lin, AZ Wyner, MH Barawi
8th International Joint Conference on Natural Language Processing (IJCNLP 2017), 2017
22017
Automatically labelling sentiment-bearing topics with descriptive sentence labels
MH Barawi, C Lin, A Siddharthan
International Conference on Applications of Natural Language to Information …, 2017
22017
A curated corpus for sentiment-topic analysis
EE Ibeke, C Lin, CD Coe, AZ Wyner, D Liu, MHB Barawi, NF Abd Yusof
Emotion and Sentiment Analysis, 2016
22016
Building Effective Teaching and Learning Environment through Information Literacy.
MH Barawi, N Fauzan, MK Othman
International Journal of Learning 15 (4), 2008
22008
Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
MH Barawi, C Lin, A Siddharthan, Y Liu
Frontiers of Computer Science, (In Press), 2018
2018
A Unified Latent Variable Model for Contrastive Opinion Mining
EE Ibeke, C Lin, AZ Wyner, MH Barawi
Frontiers of Computer Science, 2017
2017
Public Spaces Learning: A Preliminary Report on Multi User Single Environment (MUSE) in Museum
MK Othman, NS Nazri, MH Barawi, TC Siong.
International Journal of the Inclusive Museum 1 (1), pp.29-36., 2008
2008
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Articles 1–8