北京大学学报（自然科学版）2025，Vol.61Issue(3)：420-430,11.DOI:10.13209/j.0479-8023.2025.002
融合显性知识和隐性知识的古诗情感分析
Sentiment Analysis of Chinese Ancient Poetry by Fusing Explicit Knowledge and Implicit Knowledge
摘要
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.关键词
情感分析/注意力机制/显性知识/隐性知识/中国古诗Key words
sentiment analysis/attention mechanism/explicit knowledge/implicit knowledge/Chinese ancient poetry引用本文复制引用
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):420-430,11.基金项目
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 （23AZD047）
