skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Personality expression and recognition in Chinese language usage

User modeling and user-adapted interaction, 2021-03, Vol.31 (1), p.121-147 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;Springer Nature B.V. 2020. ;ISSN: 0924-1868 ;EISSN: 1573-1391 ;DOI: 10.1007/s11257-020-09276-2

Full text available

Citations Cited by
  • Title:
    Personality expression and recognition in Chinese language usage
  • Author: Yuan, Cuixin ; Hong, Ying ; Wu, Junjie
  • Subjects: Chinese languages ; Computer Science ; Machine learning ; Management of Computing and Information Systems ; Multimedia Information Systems ; Pattern analysis ; Personality ; Prediction models ; User Interfaces and Human Computer Interaction
  • Is Part Of: User modeling and user-adapted interaction, 2021-03, Vol.31 (1), p.121-147
  • Description: Personality plays a pivotal role at work. Many scholars have investigated the association between personality and language usage habits in the English corpus. Given that the Chinese language has the largest number of native speakers in the world, it is essential to analyze the pattern of personality expression in Chinese, which has garnered less attention. In this study, we used the TextMind system to examine the correlation between word categories and personality traits based on Chinese Weibo content. We also compared the results with previous studies to demonstrate the similarities and differences of personality expression between English and Chinese. Additionally, this paper established a prediction model based on machine learning methods to recognize personality. Results showed that language features were powerful indicators of personality. Finally, we made recommendations for using personality expression in the recruitment and selection.
  • Publisher: Dordrecht: Springer Netherlands
  • Language: English
  • Identifier: ISSN: 0924-1868
    EISSN: 1573-1391
    DOI: 10.1007/s11257-020-09276-2
  • Source: ProQuest One Psychology
    AUTh Library subscriptions: ProQuest Central

Searching Remote Databases, Please Wait