Query Specific Multi Document by Gondkar Vikhe (6 results)

- Softcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
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Taschenbuch. Condition: 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]d…e | Anbieter: preigu.

- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
Contact seller4-star sellerCondition: Used - As new
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Language: English
Published by LAP LAMBERT Academic Publishing Mai 2013, 2013
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 46.79
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Taschenbuch. Condition: 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 summarizat…ion 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.

- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: 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.

Language: English
Published by LAP LAMBERT Academic Publishing Mai 2013, 2013
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
US$ 46.79
US$ 68.30 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: 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.

- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 47.95
US$ 69.08 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: 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 a…ims 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.