NgramPOS: a bigram-based linguistic and statistical feature process model for unstructured text classification.
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| Title: | NgramPOS: a bigram-based linguistic and statistical feature process model for unstructured text classification. |
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| Authors: | Foroozan Yazdani, Sepideh1, foroozan.sepideh@gmail.com, Tan, Zhiyuan2, Kakavand, Mohsen3, Mustapha, Aida4 |
| Source: | Wireless Networks (10220038); Apr2022, Vol. 28 Issue 3, p1251-1261, 11p |
| 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: 155684454 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11276-018-01909-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1251 Titles: – TitleFull: NgramPOS: a bigram-based linguistic and statistical feature process model for unstructured text classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Foroozan Yazdani, Sepideh – PersonEntity: Name: NameFull: Tan, Zhiyuan – PersonEntity: Name: NameFull: Kakavand, Mohsen – PersonEntity: Name: NameFull: Mustapha, Aida IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 10220038 Numbering: – Type: volume Value: 28 – Type: issue Value: 3 Titles: – TitleFull: Wireless Networks (10220038) Type: main |
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