A text classification model for dynamic fusion of global and local features
Existing text classification models insufficiently utilize global and local information in texts, leading to subpar classification performance. In response to this issue, a text classification model called global and local features dynamic fusion (GLFDF) is proposed. The GLFDF model was initially de...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of XPU
2024-08-01
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| Series: | Xi'an Gongcheng Daxue xuebao |
| Subjects: | |
| Online Access: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1489 |
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