Abstract
There are many researches on psychological text analysis, and it has been proved that the words people use can reflect their emotional states. In this paper, we introduce how to analyze the psychology of the characters in vernacular novels automatically. First, we process the dialogs with word segmentation, and analyze the segmented text with SC-LIWC. Then, a vector reflecting the psychology of the character is obtained and we map it to the big five. Finally, taking the dialogs of the Journey to the West as corpus, We have got the personalities of four main characters which are verified to be same as some famous comments of the Journey to the West, which shows that our work is effective.
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Yuan, Y., Li, B., Jiao, D., Zhu, T. (2018). The Personality Analysis of Characters in Vernacular Novels by SC-LIWC. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_43
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DOI: https://doi.org/10.1007/978-3-319-74521-3_43
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