2024
DOI: 10.2478/amns-2024-0486
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Text Value and Linguistic Characterization in Chinese Language Literature Based on Text Mining Techniques

Min Liu,
Shuling Hu,
Wenting Qing

Abstract: This study applies text mining techniques to deeply analyze Chinese language and literature’s text value and linguistic features. The study adopts the methods of textual disambiguation, vector space modeling, semantic network and Labeled-LDA model. Taking the novels of Yu Hua and Ge Fei as an example, it reveals the differences between the two writers in linguistic features such as using punctuation, average word length, and sentence discrete degree. The study provides a comprehensive heat score for the novels… Show more

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