Developing a Keyword Extractor and Document Classifier : Emerging Research and Opportunities
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| Title: | Developing a Keyword Extractor and Document Classifier : Emerging Research and Opportunities |
|---|---|
| Description: | The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method. |
| Authors: | Dimple Valayil Paul |
| Resource Type: | eBook. |
| Subjects: | Text data mining, Examinations--Design and construction, Educational tests and measurements--Technological innovations, Classification--Technological innovations |
| Categories: | COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Analytics |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Developing a Keyword Extractor and Document Classifier : Emerging Research and Opportunities – Name: Abstract Label: Description Group: Ab Data: The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dimple+Valayil+Paul%22">Dimple Valayil Paul</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Text+data+mining%22">Text data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Examinations--Design+and+construction%22">Examinations--Design and construction</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+tests+and+measurements--Technological+innovations%22">Educational tests and measurements--Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Classification--Technological+innovations%22">Classification--Technological innovations</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+System+Administration+%2F+Storage+%26+Retrieval%22">COMPUTERS / System Administration / Storage & Retrieval</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Database+Administration+%26+Management%22">COMPUTERS / Database Administration & Management</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 371.261 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Text data mining Type: general – SubjectFull: Examinations--Design and construction Type: general – SubjectFull: Educational tests and measurements--Technological innovations Type: general – SubjectFull: Classification--Technological innovations Type: general Titles: – TitleFull: Developing a Keyword Extractor and Document Classifier : Emerging Research and Opportunities Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dimple Valayil Paul – PersonEntity: Name: NameFull: Dimple Valayil Paul IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2020 – D: 09 M: 12 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9781799837725 – Type: isbn-electronic Value: 9781799837732 – Type: isbn-electronic Value: 9781799837749 Titles: – TitleFull: Developing a Keyword Extractor and Document Classifier : Emerging Research and Opportunities Type: main |
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