Dr. Jia-Wei Chang
Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taiwan
Natural Language Processing for Potential Applications in Industries
Natural language processing, or NLP for short, can utilize machine learning or deep learning to extract meaning from text. However, understanding human language, with all of its intricacies, dialects, inflections, and the like, is sometimes even difficult for people, let alone computers. AI has advanced to the level today where natural language processing can analyze, extract meaning from, and determine actionable insights from both syntax and semantics in text. In NLP areas, many valuable applications are rapid growth, such as smart assistants, text analytics, sentiment analysis, text classification, text summarization, market intelligence, intent classification, and so on. Therefore, NLP can be a revolutionary new solution that is helping companies enhance their insights and get even more visibility into all facets of their customer-facing operations than ever before. The most common applications of NLP in some of the biggest industries around the world, including (a) in financial institutions, investment decisions by sentiment analysis, or fraudulent detection by intent classification. (b) in manufacturing & supply chain, logistical process improvement by shipment documents analysis, or cost-saving by online resources scanning. (c) in retail, the brand development strategies and precision marketing by text analytics and sentiment analysis in social media comments or customers’ reviews. (d) in healthcare, the decision on medical priority of care by text analytics in the incoming email and live chat data from patients; or improvement of diagnosis and treatments by text summarization and named entity recognition. On the other hand, this talk also concludes the personal experiences of academic-industry cooperation by the NLP technologies for various industries.
Jia-Wei Chang is an assistant professor in Department of Computer Science and Information Engineering at National Taichung University of Science and Technology. Since January 2019, he is a Young Professionals Chair of the Institution of Engineering and Technology (IET) - Taipei Network. Since 2017, he is a consultant of NEXCOM Industry 4.0 Innovation Center. During February to July 2018, he was an adjunct assistant professor in Department of Engineering Science at National Cheng Kung University. He was a data scientist and project manager at IoT BU, Nexcom during 2016-2017. He received the Ph.D. degree from Department of Engineering Science, National Cheng Kung University in 2017. His research interests include natural language processing, internet of things, artificial intelligence, data mining, and e-learning technologies.