Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence Integration
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 uses rhetorical techniques such as simile and personification, as well as metaphorical means...
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| Format: | Article |
| Language: | English |
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De Gruyter
2025-03-01
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| Series: | Libri |
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| Online Access: | https://doi.org/10.1515/libri-2024-0053 |
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| author | Liu Zhongbao Zhao Wenjuan |
| author_facet | Liu Zhongbao Zhao Wenjuan |
| author_sort | Liu Zhongbao |
| collection | DOAJ |
| description | 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 uses 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 paper 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 Attention (SAMCAP). This model extracts semantic features from Chinese ancient poetry text, meanwhile designs a multidimensional attention to extract the knowledge feature 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. |
| format | Article |
| id | doaj-art-f4518fda88894a2da0d02bff4835e34a |
| institution | DOAJ |
| issn | 0024-2667 1865-8423 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Libri |
| spelling | doaj-art-f4518fda88894a2da0d02bff4835e34a2025-08-20T02:55:56ZengDe GruyterLibri0024-26671865-84232025-03-017519710810.1515/libri-2024-0053Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence IntegrationLiu Zhongbao0Zhao Wenjuan1School of Information Science, 12490Beijing Language and Culture University, Beijing, 100083, ChinaSchool of Information Science, 12490Beijing Language and Culture University, Beijing, 100083, ChinaPoetry 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 uses 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 paper 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 Attention (SAMCAP). This model extracts semantic features from Chinese ancient poetry text, meanwhile designs a multidimensional attention to extract the knowledge feature 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.https://doi.org/10.1515/libri-2024-0053chinese ancient poetrysentiment analysisdigital intelligence integrationmultidimensional attentionguwenbert |
| spellingShingle | Liu Zhongbao Zhao Wenjuan Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence Integration Libri chinese ancient poetry sentiment analysis digital intelligence integration multidimensional attention guwenbert |
| title | Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence Integration |
| title_full | Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence Integration |
| title_fullStr | Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence Integration |
| title_full_unstemmed | Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence Integration |
| title_short | Sentiment Analysis of Chinese Ancient Poetry Based on Multidimensional Attention Under the Background of Digital Intelligence Integration |
| title_sort | sentiment analysis of chinese ancient poetry based on multidimensional attention under the background of digital intelligence integration |
| topic | chinese ancient poetry sentiment analysis digital intelligence integration multidimensional attention guwenbert |
| url | https://doi.org/10.1515/libri-2024-0053 |
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