Identifying the Development Trends of Emerging Technologies: A Social Awareness Analysis Method Using Web News Data Mining

被引：0

作者：

Xie, Qian-Qian ^{[1
]}

Li, Xin ^{[1
]}

Huang, Lu-Cheng ^{[1
]}

机构：

[1] Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China

来源：

2018 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING AND TECHNOLOGY (PICMET '18): MANAGING TECHNOLOGICAL ENTREPRENEURSHIP: THE ENGINE FOR ECONOMIC GROWTH | 2018年

基金：

中国国家自然科学基金;

关键词：

EXPECTATIONS; TRACKING; WORD;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Identifying the development trends of emerging technologies with disruptive potential as early as possible is crucial for enterprise research and development (R&D) investment planning and government R&D strategic planning. To avoid the weakness of using scientific papers or patents to study the development trends of emerging technologies, this paper proposes a research framework to identify the development trends of emerging technologies based on social awareness analysis. First, we apply the Hierarchical Dirichlet Processes (HDP) topic model to study the changing patterns of social publics' topics concerning emerging technologies. Second, we use an improved sentiment analysis method to analyze the changing pattern of social publics' expectations and emotions toward emerging technologies over time. Next, we identify the development trends of emerging technologies based on the social awareness analysis. Finally, the perovskite solar cells technology is given as a case study to analyze the effectiveness and feasibility of the research framework.

引用

页数：12

共 32 条

[1]

Baccianella S, 2010, LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

[2] The sociology of expectations in science and technology [J].

Borup, Mads ;

Brown, Nik ;

Konrad, Kornelia ;

Van Lente, Harro .

TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2006, 18 (3-4) :285-298

[3] The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems [J].

Breitzman, Anthony ;

Thomas, Patrick .

RESEARCH POLICY, 2015, 44 (01) :195-205

[4] Forecasting emerging technologies: Use of bibliometrics and patent analysis [J].

Daim, Tugrul U. ;

Rueda, Guillenno ;

Martin, Hilary ;

Gerdsri, Pisek .

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2006, 73 (08) :981-1012

[5]

Day G., 2000, WHARTON MANAGING EME

[6] Dynamic Topic Detection and Tracking: A Comparison of HDP, C-Word, and Cocitation Methods [J].

Ding, Wanying ;

Chen, Chaomei .

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2014, 65 (10) :2084-2097

[7]

Dong T. C., 2009, NETWORK JOURNALISM C

[8] Identifying potentially disruptive trends by means of keyword network analysis [J].

Dotsika, Fefie ;

Watkins, Andrew .

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2017, 119 :114-127

[9]

Fenn J., 2010, HYPE CYCLE 2010 TIPS

[10] Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon [J].

Fu Xianghua ;

Liu Guo ;

Guo Yanyan ;

Wang Zhiqiang .

KNOWLEDGE-BASED SYSTEMS, 2013, 37 :186-195

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