Psychology: Techniques and Application

Psychology: Techniques and Application ›› 2020, Vol. 8 ›› Issue (4): 235-242.doi: 10.16842/j.cnki.issn2095-5588.2020.04.007

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Analysis of Emotional Components of Awe: Text Mining Based on Social Network

WANG Ying1; KU Tingting1; XU Shuping2; LI Weiqiang1; YUAN Bo1#br#   

  1. (1 Department of Psychology, Ningbo University, Ningbo 315211, China)(2 College of Social Development, East China University of Political Science and Law, Shanghai 200062, China)
  • Online:2020-04-01 Published:2020-04-08

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Abstract: The sense of awe is a complex emotional experience that includes both positive and negative emotions. However, it is still unclear about the proportion of different emotional components about the sense of awe. The present study utilized text mining techniques to perform sentiment/emotional analysis text content with the awe of sensibility on Twitter and Sina Weibo.The results showed that in the experience of awe, joy, anticipation, trust, and surprise account for a large proportion, while fear, sadness, anger, and disgust account for a small proportion. To a certain extent, the research results supported a sense of awe that is based on positive emotions, and provided some evidence for understanding the emotional components and induction of awe.

Key words:  , awe, text mining, sentiment/emotion analysis, Twitter, Sina Weibo

CLC Number: 

  • B842.6
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