Sinopsis
Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very useful to help users grasp the main information related to a query. Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. The main problem for generating an extractive automatic text summary is to detect the most relevant information in the source document. Query Specific Document Summarization may provide a solution to handle large amount of information present on the World Wide Web. In this TEXT BOOK the work is on query specific extractive text summarization, wherein, sentences are scored based on certain scoring methods and those having high score are extracted to generate summary.
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Reseña del editor
Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very useful to help users grasp the main information related to a query. Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. The main problem for generating an extractive automatic text summary is to detect the most relevant information in the source document. Query Specific Document Summarization may provide a solution to handle large amount of information present on the World Wide Web. In this TEXT BOOK the work is on query specific extractive text summarization, wherein, sentences are scored based on certain scoring methods and those having high score are extracted to generate summary.
Biografía del autor
The Author Is Masters In Computer Engineering Having " Text Summarization" As Her Specialization.she Has Also Published More Than 05 International Papers.the Author Has Also Keen Interest In Research In Field Of Bluetooth Technology And Multimedia Systems.
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Query Specific Multi Document Text Summarization
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LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659353744
ISBN 13: 9783659353741
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very useful to help users grasp the main information related to a query. Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. The main problem for generating an extractive automatic text summary is to detect the most relevant information in the source document. Query Specific Document Summarization may provide a solution to handle large amount of information present on the World Wide Web. In this TEXT BOOK the work is on query specific extractive text summarization, wherein, sentences are scored based on certain scoring methods and those having high score are extracted to generate summary. 80 pp. Englisch. Nº de ref. del artículo: 9783659353741
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Query Specific Multi Document Text Summarization
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659353744
ISBN 13: 9783659353741
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gondkar- Vikhe Patil JyotiThe Author Is Masters In Computer Engineering Having Text Summarization As Her Specialization.she Has Also Published More Than 05 International Papers.the Author Has Also Keen Interest In Research In Fie. Nº de ref. del artículo: 5150568
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Query Specific Multi Document Text Summarization
Publicado por
LAP LAMBERT Academic Publishing Mai 2013, 2013
ISBN 10: 3659353744
ISBN 13: 9783659353741
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very useful to help users grasp the main information related to a query. Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. The main problem for generating an extractive automatic text summary is to detect the most relevant information in the source document. Query Specific Document Summarization may provide a solution to handle large amount of information present on the World Wide Web. In this TEXT BOOK the work is on query specific extractive text summarization, wherein, sentences are scored based on certain scoring methods and those having high score are extracted to generate summary.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Nº de ref. del artículo: 9783659353741
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Query Specific Multi Document Text Summarization
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659353744
ISBN 13: 9783659353741
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very useful to help users grasp the main information related to a query. Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. The main problem for generating an extractive automatic text summary is to detect the most relevant information in the source document. Query Specific Document Summarization may provide a solution to handle large amount of information present on the World Wide Web. In this TEXT BOOK the work is on query specific extractive text summarization, wherein, sentences are scored based on certain scoring methods and those having high score are extracted to generate summary. Nº de ref. del artículo: 9783659353741
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Query Specific Multi Document Text Summarization
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659353744
ISBN 13: 9783659353741
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Librería: preigu, Osnabrück, Alemania
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Taschenbuch. Condición: Neu. Query Specific Multi Document Text Summarization | Jyoti Gondkar- Vikhe Patil (u. a.) | Taschenbuch | 80 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659353741 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 105945345
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Query Specific Multi Document Text Summarization
Publicado por
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659353744
ISBN 13: 9783659353741
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