Ye Wu

Beijing University of Posts and Telecommunications (BUPT) - School of Economics and Management

10 Xi Tu Cheng Rd.

Mailbox 164

Beijing, Beijing 100876

China

  • Beijing University of Posts and Telecommunications (BUPT) - School of Economics and Management

SCHOLARLY PAPERS

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Scholarly Papers (3)

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1.

Exploring Performance of Clustering Methods on Document Sentiment Analysis

Journal of Information Science, 2017, 43(1): 54-74
Number of pages: 21 Posted: 01 Feb 2016 Last Revised: 10 Feb 2017
Baojun Ma, Hua Yuan and Ye Wu
School of Business and Management, Shanghai International Studies University, University of Electronic Science and Technology of China (UESTC) - School of Economics and Management and Beijing University of Posts and Telecommunications (BUPT) - School of Economics and Management
Downloads 75 (604,796)
Citation 1

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Clustering, data pre-processing, sentiment analysis, term weighting model

2.

The Shock, the Coping, the Resilience: How Smartphone Application Use Reveals Covid-19 Lockdown Effects on Human Behaviour

Liu, X.F., Wang, ZZ., Xu, XK. et al. The shock, the coping, the resilience: smartphone application use reveals Covid-19 lockdown effects on human behaviors. EPJ Data Sci. 12, 17 (2023). https://doi.org/10.1140/epjds/s13688-023-00391-9
Number of pages: 18 Posted: 26 May 2022 Last Revised: 07 Jun 2023
Xiao Fan Liu, Zhenzhen Wang, X-K Xu, Ye Wu, Zhidan Zhao, Huarong Deng, Ping Wang, Naipeng Chao and Yi-Hui Huang
City University of Hong Kong, Shenzhen University, Dalian Minzu University - College of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT) - School of Economics and Management, Shantou University, Shenzhen HeyTap Technology Co.,Ltd., Shenzhen HeyTap Technology Co.,Ltd., Shenzhen University and City University of Hong Kong (CityU) - Department of Media and Communication
Downloads 50 (737,261)

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COVID-19, lockdown, human behaviours, smartphone apps, natural experiments

3.

Epidemiologic Information Discovery from Open-Access COVID-19 Case Reports Via Pretrained Language Model

Number of pages: 44 Posted: 17 Mar 2022
Zhizheng Wang, Xiao Fan Liu, Zhanwei Du, Lin Wang, Ye Wu, Petter Holme, Michael Lachmann, Hongfei Lin, Zoie S. Y. Wong, X-K Xu and Yuanyuan Sun
Dalian University of Technology, City University of Hong Kong, The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control, University of Cambridge - Department of Genetics, Beijing University of Posts and Telecommunications (BUPT) - School of Economics and Management, affiliation not provided to SSRN, Santa Fe Institute, Dalian University of Technology, affiliation not provided to SSRN, Dalian Minzu University - College of Information and Communication Engineering and Dalian University of Technology - College of Computer Science and Technology
Downloads 11 (1,081,304)

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Epidemiologic information; Artificial Intelligence; COVID-19 case reports; Pretrained language model; Epidemiology; Natural language processing