Sentiment Analysis of Chinese Ancient Poetry by Fusing Explicit Knowledge and Implicit Knowledge

doi:10.13209/j.0479-8023.2025.002

Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2025, Vol. 61 ›› Issue (3): 420-430.DOI: 10.13209/j.0479-8023.2025.002

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Sentiment Analysis of Chinese Ancient Poetry by Fusing Explicit Knowledge and Implicit Knowledge

ZHAO Yulan¹, WAN Guangwen², LIU Zhongbao^2,†

1. Information Engineering Faculty, Shanxi Vocational University of Engineering Science and Technology, Jinzhong 030619 2. School of Information Science, Beijing Language and Culture University, Beijing 100083

Received:2024-03-20 Revised:2024-08-18 Online:2025-05-20 Published:2025-05-20
Contact: LIU Zhongbao, E-mail: zbliu(at)blcu.edu.cn

融合显性知识和隐性知识的古诗情感分析

赵宇兰¹, 万广文², 刘忠宝^2,†

1. 山西工程科技职业大学信息工程学院, 晋中, 030619 2. 北京语言大学信息科学学院, 北京 100083

通讯作者: 刘忠宝, E-mail: zbliu(at)blcu.edu.cn
基金资助:
国家社科基金重点项目(23AZD047)和 2022年山西省教育科学“十四五”规划课题(GH-220313)资助

Abstract

Abstract:

By fully utilizing the features of poetry text and related knowledge, this paper proposes a model SACAP for sentiment analysis of Chinese ancient poems integrating explicit knowledge and implicit knowledge. On the one hand, the model extracts deep semantic features from poetry text, and on the other hand, on the basis of constructing a knowledge base of Chinese ancient poetry, it designs a multidimensional attention mechanism to extract features from Chinese ancient poetry knowledge. The sentiment of Chinese ancient poetry can be determined by taking both features into consideration. The experimental results show that the proposed model performs better than existing models and the explicit knowledge plays much more important role, compared with implicit knowledge.

Key words: sentiment analysis, attention mechanism, explicit knowledge, implicit knowledge, Chinese ancient poetry

摘要：

充分利用古诗文本的语义特征和相关领域的知识特征, 提出融合显性知识和隐性知识的古诗情感分析模型SACAP。首先从古诗文本中抽取深层次语义特征, 然后在构建古诗知识库的基础上, 设计多维度注意力机制对古诗知识进行特征提取, 最后通过融合古诗文本特征和古诗知识特征, 对古诗情感进行识别。在开放古诗语料FSPC上的实验结果表明, SACAP模型具有比已有模型更优的性能, 并且显性知识比隐性知识具有更大的作用。

关键词: 情感分析, 注意力机制, 显性知识, 隐性知识, 中国古诗

ZHAO Yulan, WAN Guangwen, LIU Zhongbao. Sentiment Analysis of Chinese Ancient Poetry by Fusing Explicit Knowledge and Implicit Knowledge[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2025, 61(3): 420-430.

赵宇兰, 万广文, 刘忠宝. 融合显性知识和隐性知识的古诗情感分析[J]. 北京大学学报自然科学版, 2025, 61(3): 420-430.

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URL: https://xbna.pku.edu.cn/EN/10.13209/j.0479-8023.2025.002

https://xbna.pku.edu.cn/EN/Y2025/V61/I3/420

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Sentiment Analysis of Chinese Ancient Poetry by Fusing Explicit Knowledge and Implicit Knowledge

融合显性知识和隐性知识的古诗情感分析

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