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Abstract

Nowadays, research on stylistic features (SF) mainly focuses on two aspects: lexical elements and syntactic structures. The lexical elements act as the content of a sentence and the syntactic structures constitute the framework of a sentence. How to combine both aspects and exploit their common advantages is a challenging issue. In this paper, we propose a Principal Stylistic Features Analysis method (PSFA) to combine these two parts, and then mine the relations between features. From a statistical analysis point of view, many interesting linguistic phenomena can be found. Through the PSFA method, we finally extract some representative features which cover different aspects of styles. To verify the performance of these selected features, classification experiments are conducted. The results show that the elements selected by the PSFA method provide a significantly higher classification accuracy than other advanced methods.

Keywords

Style Lexical and syntactic features Feature dimension reduction 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Tsinghua UniversityBeijingChina

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