Statistics and AI tools for Finance, Medicine, Business, and Smart City


We use ontology, natural language processing, and artificial intelligence to develop new methods and models to analyze the semantic meaning of the text in the document and social media data. We implement the metadata engine and ontology databases with blockchain and network analysis technologies to understand the information context and scenario. We provide consutlancy services with our developed tools and methods for classifying, summarizing, and analyzing the social media text, consumers' discussions, opinions, and preferences. We use our tools to help companies to develop marketing strategies, product design, and business risk management.

Ontology, Text Mining & Natural Language Processing

  • GAO, J., & et. al. (2018). Detecting comments showing risk for suicide in YouTube. In Arai, K., Bhatia, R. and Kapoor, S. (Eds.): Proceedings of the Future Technologies Conference (FTC) 2018, Volume 1, 385-400.
  • TANG, Y., & et. al. (2016). Neural machine translation with external phrase memory. CoRR, abs/1606.01792.
  • LAU, A. and TSE, S. (2010). Development of the Ontology Using a Problem-Driven Approach: In the Context of Traditional Chinese medicine Diagnosis. InternationalJournal of Knowledge Engineering and Data Mining, Vol 1, p.37 – 49. (Cited by 2)
  • TSUI, E., WANG, W.M., CHEUNG, C.F., and LAU, A.S.M.. (2010). A Concept-Relationship Acquisition and Inference Approach for Hierarchical Taxonomy Construction from Tags. Information Processing & Management(impact factor 4.787), Vol. 46, Issue 1, p.44-57. (Cited by 79).
  • LAU, A. (2009). Implementation of an onto-wiki toolkit using web services to improve the efficiency and effectiveness of medical ontology co-authoring and analysis.Informatics for Health and Social Care (impact factor 1.982), Vol. 34, No. 1, p.73 - 80. (Cited by 10).
  • LAU, A. TSUI, E., and LEE, W.B.. (2009). An Ontology-based Similarity Measurement for Problem-based Case Reasoning. Expert systems and Application (impact factor 5.452), Vol. 36, Issue 3, Part II, p.6574-6579. (Cited by 50).
  • Social Media, and Big Data Analytics

  • LAU, A.S.M., and BOUAZIZI, N. (2019). Big Data Analytics for International Market Expansion: Case Studies in ExporTech. International Journal of Knowledge Engineering, Vol. 5, No. 2, 2019.
  • LAU, A.S.M., BAKER, K., KEMPF, K., GRZYB, K., OKE, S., TSUI, E., CHEUNG, L., SLAMA, M.C. and SU, M. (2019). Using Artificial Intelligence and Social Media Analytics in Digital Health: A Case Study of Zocdoc for Consumers’ Health Care Services Analysis. Adaptive Health Management Information Systems:Concepts, Cases, & Practical Applications: Concepts, Cases, Practical Applications. Jones & Bartlett Publisher.
  • LAU, A.(2011). Hospital-Based Nurses’ Perceptions of the Adoption of Web 2.0 Tools for Knowledge Sharing, Learning, Social Interaction and the Production of Collective Intelligence. Journal of Medical Internet Research (impact factor 5.03), Vol 13, No 4, e92, p.1-12. (Cited by 102).
  • LAU, A. and TSUI, E. (2009). Application of Web2.0 Technology for Clinical Training. Social Web Evolution: Integrating Semantic Applications and Web2.0 Technologies, Hershey, New York, U.S.A., p.132 – 137. (Cited by 1).