Public Opinion Detection in an Online Lending Forum: Sentiment Analysis and Data Visualization

doi:10.1109/ICCCBDA49378.2020.9095690

Details of Research Outputs

Title	Public Opinion Detection in an Online Lending Forum: Sentiment Analysis and Data Visualization
Creator	Zhan, Ge 1; Wang, Ming 2; Zhan, Meiyi 3
Date Issued	2020-04-01
Conference Name	2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics
Source Publication	2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2020)
ISBN	9781728160245
Pages	211-213
Conference Date	10-13 April 2020
Conference Place	Chengdu, China
Abstract	Public opinion entails emotions, wishes, attitudes and ideas among individuals and various social groups in a certain historical stage and social space. This research aims to employ natural language processing (NLP), sentiment analysis and data mining technologies to build a public opinion analysis system to serve enterprises' need of online public opinion detection. By using the data set from an online pear-to-pear (P2P) lending forum with 4148 reviews, we analyzed the data with data visualization techniques.
Keyword	data mining data visualization online public opinion opinion detection sentiment analysis
DOI	10.1109/ICCCBDA49378.2020.9095690
URL	View source
Language	英语English
Scopus ID	2-s2.0-85085736357
Citation statistics	Cited Times [WOS]:0 [WOS Record] [Related Records in WOS]
Document Type	Conference paper
Identifier	http://repository.uic.edu.cn/handle/39GCC9TT/6179
Collection	Faculty of Busines and Management
Affiliation	1.Beijing Normal University-Hong Kong Baptist University United International College (UIC),Division of Business Management,Zhuhai,China 2.Shenzhen University,College of Economics,Shenzhen,China 3.Beijing Technology and Business University,School of Computer and Information Engineering,Beijing,China
First Author Affilication	Beijing Normal-Hong Kong Baptist University
Recommended Citation GB/T 7714	Zhan, Ge,Wang, Ming,Zhan, Meiyi. Public Opinion Detection in an Online Lending Forum: Sentiment Analysis and Data Visualization[C], 2020: 211-213.

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