Impact of word embedding models on text analytics in deep learning environment: a review.
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| Title: | Impact of word embedding models on text analytics in deep learning environment: a review. |
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| Authors: | Asudani, Deepak Suresh1, dsasudani.phd2021.cs@nitrr.ac.in, Nagwani, Naresh Kumar1, Singh, Pradeep1 |
| Source: | Artificial Intelligence Review; Sep2023, Vol. 56 Issue 9, p10345-10425, 81p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-023-10419-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 81 StartPage: 10345 Titles: – TitleFull: Impact of word embedding models on text analytics in deep learning environment: a review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Asudani, Deepak Suresh – PersonEntity: Name: NameFull: Nagwani, Naresh Kumar – PersonEntity: Name: NameFull: Singh, Pradeep IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 56 – Type: issue Value: 9 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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