Personality expression and recognition in Chinese language usage
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Personality expression and recognition in Chinese language usage Cuixin Yuan1 · Ying Hong2 · Junjie Wu1,3 Received: 27 November 2019 / Accepted in revised form: 8 August 2020 © Springer Nature B.V. 2020
Abstract 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. Keywords Personality traits · Language use · Personality recognition · Weibo · TextMind · Chinese language · Linear regression
1 Introduction Personality is an individual difference construct that has been used in the explanation of multiple human attributes and behaviors (Matthews et al. 2003). One of the most commonly used personality models is the Big Five model, which revolves around the traits of openness, conscientiousness, extraversion, agreeableness, and neuroticism (Costa and McCrae 2008), with the acronym “OCEAN.” There has been * Junjie Wu [email protected] 1
School of Economics and Management, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China
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Gabelli School of Business, Fordham University, New York, USA
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Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China
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considerable evidence demonstrating that the Big Five model is a robust predictor of behaviors and can be generalized across cultures (McCrae and Costa 1997). Albeit personality is commonly assessed with self- or other ratings, such as by friends, family members, and colleagues, these approaches are expensive and are subject to social desirability biases (Ellingson et al. 1999). Given that the personality construct itself originated from lexical assumptions (Sanford 1942), i.e., different words are used to describe each personality trait, linguistic features are a natural, alternative tool to assess the theoretical classification of personality traits (Tellegen 1993). Many researchers have used scientific approaches to analyze the relationship between language usage and personality. The linguistic inquiry and word count (LIWC) (Pennebaker et al. 2007), a notable example of a “closed-vocabulary” psychological dictionary, focuses on parameters such as the frequenc
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