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A Method for Identifying the Mood States of Social Network Users Based on Cyber Psychometrics

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成果类型:
期刊论文
作者:
Weijun Wang*;Ying Li;Yinghui Huang;Hui Liu;Tingting Zhang
通讯作者:
Weijun Wang
作者机构:
Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China
Author to whom correspondence should be addressed.
School of Information Management, Central China Normal University, Wuhan 430079, China
[Ying Li; Tingting Zhang; Yinghui Huang; Hui Liu] School of Information Management, Central China Normal University, Wuhan 430079, China<&wdkj&>Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China
[Weijun Wang] Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
通讯机构:
[Weijun Wang] K
Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
mood states;cyber psychometrics;Profile of Mood State (POMS);sentiment analysis;microblog
期刊:
Future Internet
ISSN:
1999-5903
年:
2017
卷:
9
期:
2
页码:
22-
机构署名:
本校为第一且通讯机构
院系归属:
心理学院
信息管理学院
摘要:
Analyzing people’s opinions, attitudes, sentiments, and emotions based on user-generated content (UGC) is feasible for identifying the psychological characteristics of social network users. However, most studies focus on identifying the sentiments carried in the micro-blogging text and there is no ideal calculation method for users’ real emotional states. In this study, the Profile of Mood State (POMS) is used to characterize users’ real mood states and a regression model is built based on cyber psychometrics and a multitask method. Features...

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