587
Views
4
CrossRef citations to date
0
Altmetric
Research Article

A Stylistic Analysis for Gu Long’s Kung Fu Novels

&
Pages 32-61 | Published online: 09 Aug 2018
 

ABSTRACT

Gu Long’s novels are divided into three periods. Here, 16 novels have been selected as Gu Long’s representative works. To compare the style of the three periods, we have selected the following 14 features: average paragraph lengths, word lengths, sentence lengths, dispersion of word lengths, dispersion of sentence lengths, part of speech (POS), POS of content words, POS of function words, punctuation, high-frequency words, n-gram of POS, n-gram of words, n-gram of punctuation and multiple features. We have as well utilized a hierarchical clustering method to cluster the novels, based on all the features. The results show that there exist differences among the first, the middle and the last period and Gu Long’s novel style has undergone a deep change over the years.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

Additional information

Funding

This work was supported by Project of Humanities and Social Sciences of Ministry of Education of China “Automatic extraction and Research of stylistic features” [17YJAZH056] and Beijing Humanities and Social Science Fund “Stylistic Analysis and Comparison for MoYan and YuHua’s novels” [16YYB021].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 394.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.