Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2020-01-07
Abstract： "
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2019-12-20
Abstract： [Background] Based on counting frequency of specially selected words, LIWC (known as Linguistic Inquiry and Word Count) is a useful tool to analyze expressions of writings or other texts created by individuals or group, for purpose of figuring out the psychological meanings inside the texts. In ancient China, the classical style of writing has a striking difference with modern times. In order to analyze the psychological meanings of classical Chinese text, we construct a Classical Chinese version of LIWC dictionary (known as CC-LIWC), based on the 2015 edition of Simplified Chinese LIWC (known as SC-LIWC). [Objective] In this paper, we show the constructing process of CC-LIWC and give an example of how to use the dictionary to analyze classical Chinese text. [Methods] First, we obtain all the words (including modern Chinese and Classical Chinese words) and their corresponding explanations from the online Chinese dictionary and keep the classical Chinese words with their modern translation; second, we search SC-LIWC words in the explanations. In this way, SC-LIWC words are mapping with the classical Chinese words; finally, we invite ancient Chinese based professionals to check the mapping results manually to ensure the consistency and accuracy of the results. [Results] The final dictionary includes 81 categories and 49136 classical Chinese entries. [Limitations] In classical Chinese context, polysemy or diversity of a word is very common, which affects the classification of words in the dictionary. [Conclusion] we use CC-LIWC to analyze The Analects(excerpts) and The Isolated Indignation. The result shows the difference between the moderation of Confucian and the dialectical thinking of Legalist. Therefore, CC-LIWC dictionary can distinguish the expression tendency of text efficiently.
Peer Review Status:Awaiting Review
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