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.

中文翻译：

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汉语使用中的个性表达与识别

个性在工作中起着举足轻重的作用。许多学者研究了英语语料库中个性与语言使用习惯的关联。鉴于汉语是世界上母语人数最多的语言，因此分析汉语的个性表达模式非常有必要，而这一模式受到的关注较少。在这项研究中，我们使用 TextMind 系统来检查基于中文微博内容的词类与个性特征之间的相关性。我们还将结果与以往的研究进行比较，以证明英汉在个性表达上的异同。此外，本文建立了基于机器学习方法的预测模型来识别个性。结果表明，语言特征是个性的有力指标。