JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2025, Vol. 60 ›› Issue (9): 71-86.doi: 10.6040/j.issn.1671-9352.0.2024.039

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Climaxchapter recognition method of chinese long novel based on plot description

WANG Wenjing1, LIU Zhongbao2*, WAN Guangwen2, HU Jianan3   

  1. 1. College of Information Engineering, Shanxi Vocational University of Engineering Science and Technology, Taiyuan 030619, Shanxi, China;
    2. School of Information Science, Beijing Language and Culture University, Beijing 100083, China;
    3. School of Software, North University of China, Taiyuan 030051, Shanxi, China
  • Published:2025-09-10

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Abstract: How to quickly and accurately identify the climax chapter has become a common problem faced by the majority of readers in their reading choices. In view of this, the method of identifying the climax chapters of Chinese long novel on the basis of accurately portraying the plot of Chinese long novel is explored, which consists of two parts, namely, key element extraction and climax chapter recognition, where the former includes the extraction of key elements such as viewpoint and non-viewpoint passages, keywords of the chapter, main characters, etc., and the latter, based on the establishment of the chapter plot description matrix, introduces the BiGRU model and the multi-head attention mechanism to realize the climax chapter recognition of Chinese long novel. Comparative experiments on Jin Yongs novel corpus show that the proposed method in this paper has better recognition performance compared with models such as Naive Bayesian(NB), Support Vector Machine(SVM), pre-trained model named Roberta-large, and Bi-directional Long Short-Term Memory(BiLSTM). Ablation experiments validate the effectiveness of the main components of the proposed method.

Key words: Chinese novel, main component extraction, chapter plot description matrix, climax chapter recognition

CLC Number: 

  • TP391
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