Chan, Samuel Wai-kwong
BSc, MPhil (CUHK); MSc (Manchester); Dip. Ed.; PhD (U of New South Wales)
Department of Decision Sciences and Managerial EconomicsRoom 934, 9/F
Cheng Yu Tung Building
12 Chak Cheung Street
Shatin, N.T., Hong Kong
+852 3943 8562
Prof. Samuel Chan received his MSc degree from the University of Manchester (U.K.), MPhil degree from The Chinese University of Hong Kong, and PhD degree in Artificial Intelligence from the University of New South Wales (Australia). Before joining The Chinese University of Hong Kong as an Associate Professor, Prof. Chan has been working in business intelligence, decision support systems, and text analytics in information systems. His current research interests are in applying machine learning techniques in text mining, sentiment analytics, financial text streaming analysis, and computational linguistics with emphasis on text-based decision making. He had won paper awards in two major conferences as well as the first place in one of the tracks in Fourth International Chinese Language Processing Bakeoff. Prof. Chan is one of the chief architects in designing a text analytics open platform, called HanMosaic, which analyses Chinese texts in real time.
Sentiment Analysis and Its Applications in Market Prediction
Chinese Text Mining
Natural Language Processing
- Publications & Working Papers
- Samuel Wai-kwong Chan and Mickey W. C. Chong (2017), “Sentiment analysis in financial texts,” Decision Support Systems, 94, 53-64.
- Samuel Wai-kwong Chan, Mickey W. C. Chong, and Tom B. Y. Lai (2015), “Unknown Chinese Composite Words Tagging using a Selective Back-Off Smoothing,” Journal of Chinese Linguistics Monograph Series No. 25, Linguistic Corpus Linguistics in the Chinese Context, 139-159.
- Samuel Wai-kwong Chan (2013), “Generating context templates for word sense disambiguation,” Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence, New Zealand.
- Samuel Wai-kwong Chan and Mickey W. C. Chong (2013a), “Predicting part-of-speech tags and morpho-syntactic relations using similarity-based technique,” Proceedings of 1st International Conference on Statistical Language and Speech Processing, Spain.
- Samuel Wai-kwong Chan and Mickey W. C. Chong (2013b), “Recursive part-of-speech tagging using word structures,” Proceedings of the Sixteenth International Conference on Text, Speech and Dialogue, Czech Republic.
- Samuel Wai-kwong Chan and James Franklin (2011), “A Text-based decision support system for financial sequence prediction,” Decision Support Systems, 52, 189-198.
- Samuel Wai-kwong Chan (2009), “Shallow Semantic Labeling using Two-Phase Feature-Enhanced String Matching,” Expert Systems with Applications, 36(6), 9729-9736.
- Samuel Wai-kwong Chan (2007), “A decision tree approach to sentence chunking,” Lecture Notes in Artificial Intelligence, 4830, 425-434.
- Samuel Wai-kwong Chan (2006), “Beyond Keyword and Cue-Phrase Matching: A Sentence-based Abstraction Technique for Information Extraction,” Decision Support Systems, 42(2), 759-777.
- Samuel Wai-kwong Chan (2006), “Shallow case role annotation using two-stage feature-enhanced string matching,” Lecture Notes in Computer Science, 3878, 263-274.
- Samuel Wai-kwong Chan (2004), “Automatic discourse structure detection using shallow textual continuity,” International Journal of Human-Computer Studies, 61(1), 138-164.
- Samuel Wai-kwong Chan (2004), “Extraction of Textual Salient Patterns: Synergy Between Lexical Cohesion and Contextual Coherence,” IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 34(2), 205-218.
- Samuel Wai-kwong Chan and Mickey W. C. Chong (2004), “Unsupervised clustering for non textual web document classification,” Decision Support Systems, 37(3), 377-396.
- Samuel Wai-kwong Chan and J. Franklin (2003), “Dynamic context generation for natural language understanding: A multifaceted knowledge approach,” IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 33(1), 23-41.
- Samuel Wai-kwong, Chan, B.K. T’sou, and Tom B. Y. Lai (2002), “Textual summarisation: A comparative study,” Journal of Applied Systems Studies, 3(1), 153-171.
- Samuel Wai-kwong Chan (2001), “Integrating linguistic primitives in learning context-dependent representation,” IEEE Transactions on Knowledge and Data Engineering: Special Issue on Connectionist Models for Learning in Structured Domains, 13(2), 157-175.
- Samuel Wai-kwong Chan and B.K. T’sou (2001), “Semantic inference for anaphora resolution: Toward a framework in machine translation,” Machine Translation, 14(3/4), 163-190.
- Samuel Wai-kwong Chan, Benjamin K. T’sou, and Tom B. Y. Lai (2000), “An Investigation of Salient Information in Textual Summarisation,” International Journal of Computer Processing of Oriental Languages,13(4), 265-290.
- Samuel Wai-kwong Chan (2000), “Using heterogeneous linguistic knowledge in local coherence identification for information retrieval,” Journal of Information Science, 26(5), 313-328.
- “Encoding Supra-Syntactic Clues in the Parsing of Chinese Sentences”, General Research Fund awarded by Research Grants Council, 2014-2016
- “Super-Sense Tagging of Chinese Unknown Words”, General Research Fund awarded by Research Grants Council (GRF), 2010-2013
- “Analysing Stakeholders’ Views on Environmental Issues through Text Analysis – An Interdisciplinary Approach Using Computational Content Analysis”, Public Policy Research Fund awarded by Research Grants Council, 2013-2015
- “Chinese Noun Phrases Parsing in Content Sensitive Analysis (中文名詞短語解析)”, Earmarked Grants awarded by Research Grants Council 2008-2010
- “Learning Shallow Natural Language Patterns: Toward a Direct Inference from Chinese Financial News Articles (學習自然語言句模︰實踐漢語財經語料的直接推理)”, Earmarked Grants awarded by Research Grants Council, 2006-2008
- “A Natural Language Front-End: Synergy between a Chinese Treebank and Verb Dictionaries in a Connectionist Model (利用中文句結構樹資料庫及動詞詞典所開發的自然語言前端)”, Earmarked Grants awarded by Research Grants Council, 2004-2007
- “A Connectionist-Based Chinese Hypermedia Document Classifier: Using Text Structure and Image as Complementary Media”, Earmarked Grants awarded by Research Grants Council, 2001-2004