Query Specific Multi Document Text Summarization - 8 Angebote vergleichen
| Preise | 2013 | 2014 | 2015 | 2019 |
|---|---|---|---|---|
| Schnitt | Fr. 35.20 (€ 36.00)¹ | Fr. 38.55 (€ 39.42)¹ | Fr. 42.45 (€ 43.41)¹ | Fr. 37.01 (€ 37.85)¹ |
| Nachfrage |
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Query Specific Multi Document Text Summarization
DE PB NWISBN: 9783659353741 bzw. 3659353744, in Deutsch, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 80 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Paperback. 80 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
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Query Specific Multi Document Text Summarization (Paperback) (2013)
DE PB NW RPISBN: 9783659353741 bzw. 3659353744, in Deutsch, LAP Lambert Academic Publishing, United States, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, The Book Depository EURO [60485773], Gloucester, UK, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.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.
Von Händler/Antiquariat, The Book Depository EURO [60485773], Gloucester, UK, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.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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Query Specific Multi Document Text Summarization
~EN NW ABISBN: 9783659353741 bzw. 3659353744, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
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.
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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Query Specific Multi Document Text Summarization
~EN PB NWISBN: 9783659353741 bzw. 3659353744, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Query Specific Multi Document Text Summarization: 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. Englisch, Taschenbuch.
Query Specific Multi Document Text Summarization: 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. Englisch, Taschenbuch.
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Query Specific Multi Document Text Summarization (2014)
DE PB NWISBN: 9783659353741 bzw. 3659353744, in Deutsch, LAP LAMBERT ACADEMIC PUB 01/12/2014, Taschenbuch, neu.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, United Kingdom.
New Book. Shipped from UK. This item is printed on demand.
New Book. Shipped from UK. This item is printed on demand.
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Query Specific Multi Document Text Summarization
~EN PB NWISBN: 3659353744 bzw. 9783659353741, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Query Specific Multi Document Text Summarization
~EN PB NWISBN: 9783659353741 bzw. 3659353744, vermutlich in Englisch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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