CWSXLNet: A Sentiment Analysis Model Based on Chinese Word Segmentation Information Enhancement.
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| Title: | CWSXLNet: A Sentiment Analysis Model Based on Chinese Word Segmentation Information Enhancement. |
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| Authors: | Guo, Shiqian1, Huang, Yansun2, Huang, Baohua1, bhhuang66@gxu.edu.cn, Yang, Linda1, Zhou, Cong1 |
| Source: | Applied Sciences (2076-3417); Mar2023, Vol. 13 Issue 6, p4056, 18p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 162725280 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app13064056 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 4056 Titles: – TitleFull: CWSXLNet: A Sentiment Analysis Model Based on Chinese Word Segmentation Information Enhancement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guo, Shiqian – PersonEntity: Name: NameFull: Huang, Yansun – PersonEntity: Name: NameFull: Huang, Baohua – PersonEntity: Name: NameFull: Yang, Linda – PersonEntity: Name: NameFull: Zhou, Cong IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: Mar2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 13 – Type: issue Value: 6 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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