Discrimination of Chinese quantitative style features based on text clustering

Author

Hou Renkui ; Jiang Minghu

Author_Institution

Lab. of Comput. Linguistics, Tsinghua Univ., Beijing, China

Volume

3

fYear

2012

fDate

21-25 Oct. 2012

Firstpage

2204

Lastpage

2207

Abstract

The styles of “News Broadcast” and “Qiang Qiang Conversation between Three Individuals” are different. The former is broadcasting, while the latter is conversational. This paper collects the corpus of both programs and selects sentence length, word length and sentence-initial word POS as the characters to generate the text vectors. And the texts are clustered by the Euclidean distance and ward algorithm. The analysis showed that the sentence length, word length and sentence-initial word POS can be used as Chinese quantitative stylistic characters.

Keywords

broadcasting; feature extraction; natural language processing; pattern clustering; text analysis; Chinese quantitative style feature discrimination; Chinese quantitative stylistic characters; Euclidean distance; Qiang Qiang conversation between three individuals; news broadcast; sentence length; sentence-initial word POS; text clustering; text vector generation; ward algorithm; word length; Text Clustering; sentence length; sentence-initial word POS; type of writing; word length;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2012 IEEE 11th International Conference on

Conference_Location

Beijing

ISSN

2164-5221

Print_ISBN

978-1-4673-2196-9

Type

conf

DOI

10.1109/ICoSP.2012.6492018

Filename

6492018