Dr. Willie Li-wei Yang
楊立偉 博士
代表著作
社群大數據：網路聲量、口碑及輿情分析 (第二版), 前程文化, 2020/9月
隨書內附線上練習帳號、案例庫及認證訓練素材，並提供老師專屬之教學或研究方案
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Adjunct Assistant Professor
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Li-wei Yang (楊立偉), Ph.D. Dr. Liwei Yang's research interests focus in information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since year 2000. He has obtained more than 20 patents for natural language processing and web mining in Greater China. He leads his team to provide OpView, the largest social listening platform in Taiwan. OpView scans more than millions of posts every day, including popular social media sites, news websites, forums, blogs, etc. With the advanced semantic analysis technologies, OpView offer comprehensive functions to monitor and analyze online conversations, which can help companies to know more about public opinions and the trend of the markets. Dr. Liwei Yang serves as the assistant professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan. He received his Ph. D. degree in Information Management from National Taiwan University. Dr. Liwei Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies such as search engines, natural language processing, and AI applications for enterprises. Please visit http://www.eland.com.tw/en for more information. 楊立偉為台灣大學資訊管理學博士。現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊創辦人及總經理。任教於台灣大學超過18年，為台大教學傑出教師，每年學生超過300位 (報導連結)。曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(公司介紹請見官網) |
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Publications: Information Retrieval in P2P networks Yuh-Jzer Joung and Li-Wei Yang. On Character-based Index Schemes for Complex Wildcard Search in Peer-to-Peer Networks. Information Sciences, Vol. 272, July 2014 Yuh-Jzer Joung and Li-Wei Yang. Wildcard Search in Structured Peer-to-Peer Networks. IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 11, Nov. 2007. Yuh-Jzer Joung, Li-Wei Yang, and Chien-Tse Fang. Keyword Search in DHT-based Peer-to-Peer Networks. IEEE Journal on Selected Areas in Communications, Vol. 25, Issue 1, Jan. 2007. (special issue on Peer-to-Peer Communications and Applications.) Yuh-Jzer Joung and Li-Wei Yang. Multi-Dimensional Prefix Search in P2P Networks. In the Proceedings of the 6th IEEE International Conference on Peer-to-Peer Computing (P2P 2006), September. 2006. Yuh-Jzer Joung and Li-Wei Yang. KISS: A Simple Prefix Search Scheme in P2P Networks. In the Proceedings of the 9th International Workshop on the Web and Database (WebDB 2006), June. 2006. Yuh-jzer Joung, Chien-Tse Fang, and Li-Wei Yang. Keyword Search in DHT-based Peer-to-Peer Networks. In the Proceedings of the 25th IEEE International Conference on Distributed Computing Systems (ICDCS 2005), June 2005. Publications: Information Retrieval Yu-Chieh Wu Li-Wei Yang, et al. Tornado in Multilingual Opinion Analysis: A Transductive Learning Approach for Chinese Sentimental Polarity Recognition. In Proceedings of the 7th NTCIR Workshop (NTCIR-7), December. 2008. Publications: Social Media Analytics, Knowledge Management, and others Li-Wei Yang, Liang-Chih Yang, Chou-Yang Chien. An Empirical Study of Social Listening in Disaster Reduction and Emergency Management. The 1st RC33 Regional Conferenceon Social Science Methodology: Asia, September. 2017. Li-Wei Yang, Liang-Chih Yang, Cindy Wu, Jim Liu, Hans Du, Valda Sung. Social Big Data and Opinion Mining for Public Policy of Taiwan. The Conference on Public Opinion Surveys in Taiwan, China, Hong Kong and Macau: Current Development and Prospect, November 2015. Liang-Chih Yang and Li-Wei Yang. Methodology and Applications of Brand Influence. In the Proceedings of Advanced Management Information Technologies and Applications Conference (AMITAC 2012), November. 2012. Li-Wei Yang, Liang-Chih Yang and Jian-zhong Lin. How to Improve Knowledge Management System - A Study Applying Multiple Criterion Decision Method (MCDM). In the Proceedings of the International Conference of Information Management (ICIM 2005), May 2005. Li-Wei Yang and Liang-Chih Yang. The Applications of Knowledge Management System for Corporations in Taiwan. In the Proceedings of the 6th Taiwan Conference on Doctoral Consortium in Information Management, 2004. Shi-cho Cha, Yuh-Jzer Joung, and Li-Wei Yang. The Integration of Web Browsing Behavior. In the Proceedings of the 4th Taiwan Conference on Doctoral Consortium in Information Management, 2002. Patent List upon request. |
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現職 意藍資訊股份有限公司 總經理 (創辦人) 台灣大學工商管理學系暨商學研究所 兼任助理教授 台灣大學資訊管理學系暨研究所 兼任助理教授 台灣人工智慧學校 講師 資訊及通信國家標準技術委員 歷史 楊立偉博士於求學期間創立意藍(eLAND)，帶領來自台灣大學之技術團隊，以中文處理與網路技術為核心，服務亞洲眾多網站與知名企業，為當年台灣校園創業「學生董事長」之代表，為網路的軍火商。十年來陸續與國際大廠IBM、PwC、BroadVision等合作。優異的產品獲得台積電、裕隆、遠傳等上千家國內外企業採用。 意藍於2008年收購另一家知名創業公司「龍捲風科技」，一舉躍為國內搜尋引擎龍頭，連續多年獲票選為台灣最佳知識管理與搜尋引擎產品第一名，並於2012年同時榮獲得國家雲端創新獎，以及數位時代雜誌舉辦「創業之星」首獎，現為國內最大的數據供應平台。 楊立偉博士出身校園創業，為繼續發掘台灣下一代的菁英人才，目前亦兼任於國立大學，專長領域為數據分析、知識管理、搜尋引擎、數位行銷等。 公司介紹 意藍 eLand 國內AI智能數據的代表公司，同時為國內第一家以AI大數據公開掛牌 (股票代碼6925) 的雲端服務廠商，也是搜尋引擎及自然語言處理 (Natural Language Processing, NLP) 的領導廠商，提供企業級搜尋引擎產品與方案、新一代生成式AI之企業知識管理、AI商品推薦及貼標分析等，專門處理巨量資料與加值運用，客戶遍佈電信、金融、高科技等產業及政府單位。所推出之雲端資料分析服務OpView是國內規模最大的網路情報與社群口碑自動分析平台，運用核心技術與上百台雲端主機，全面涵蓋台灣地區九成以上的社群流量，每日新增數百萬則情報，運算及分析資料達數十億筆規模，具有高準確率、高覆蓋率、高時效性等優勢。 eLAND company is a leading data analysis company specializing in the research and development of cutting-edge software technologies such as search engines, natural language processing, semantic analysis technology, and online community analysis for the Chinese market. Since its establishment, the company has continued to invest in the research and development of its core technologies and has obtained more than 60 patented technologies at home and abroad. (quoted from CIO Panel, PACIS, 2022) |
Last update: 2024 Fall