Sentiment analysis of Chinese ancient poetry based on multidimensional knowledge attention.
Poetry was a unique literary genre in ancient China as an important way to express sentiments. Chinese ancient poetry not only has simple words, strict meters, and rich semantic relationships, but also widely use rhetorical techniques such as simile and personification, as well as metaphorical means...
| Published in: | Digital Scholarship in the Humanities Vol. 40; no. 1; pp. 214 - 227 |
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| Main Authors: | , , , |
| Format: | Article |
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Oxford University Press / USA
Apr2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=184296818&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 184296818 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2025 vid: 40 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 184296818 10.1093/llc/fqae069 ppf: 214 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.4MB tig: atl: Sentiment analysis of Chinese ancient poetry based on multidimensional knowledge attention. aug: au: Liu, Zhongbao Wan, Guangwen Zuo, Xi Liu, Yingbin affil: School of Information Science, Beijing Language and Culture University, Beijing, 100083, China School of Software, North University of China, Taiyuan, 030051, China su: Chinese poetry Literary form Sentiment analysis Long short-term memory Poetry (Literary form) sug: subj: Chinese poetry Literary form Sentiment analysis Long short-term memory Poetry (Literary form) keyword: BiLSTM Chinese ancient poetry GuwenBERT multidimensional knowledge attention sentiment analysis ab: Poetry was a unique literary genre in ancient China as an important way to express sentiments. Chinese ancient poetry not only has simple words, strict meters, and rich semantic relationships, but also widely use rhetorical techniques such as simile and personification, as well as metaphorical means such as allusion and imagery, which makes it difficult to understand their implicit sentiments quickly and accurately. Therefore, this article attempts to make full use of the semantic features of Chinese ancient poetry text and the knowledge feature of related domains under the guidance of the research paradigm of digital intelligence integration and, based on which, proposed Sentiment Analysis Model of Chinese Ancient Poetry based on Multidimensional Knowledge Attention. This model extracts semantic features from Chinese ancient poetry text, meanwhile designs a multidimensional knowledge attention to extract knowledge features from the knowledge base of Chinese ancient poetry. The recognition of Chinese ancient poetry sentiment is performed by integrating the textual feature and knowledge feature. Comparison experiments on the open ancient poetry corpus verified the effectiveness of the proposed model, and the ablation experiment explored the importance of different knowledge to the sentiment analysis result of Chinese ancient poetry. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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