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Nlp Driven Document Representations Text by Yilmazel Ozgur (10 results)
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NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3836488418 ISBN 13: 9783836488419
Condition: New.
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NLP-Driven Document Representations for Text Categorization: Empirical Selection of NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3836488418 ISBN 13: 9783836488419
Condition: New.
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NLP-Driven Document Representations for Text Categorization (Paperback or Softback)
Language: English
Published by VDM Verlag Dr. Mueller E.K. 4/17/2008, 2008
ISBN 10: 3836488418 ISBN 13: 9783836488419
Paperback or Softback. Condition: New. NLP-Driven Document Representations for Text Categorization. Book.
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NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3836488418 ISBN 13: 9783836488419
Condition: As New. Unread book in perfect condition.
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NLP-Driven Document Representations for Text Categorization: Empirical Selection of NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3836488418 ISBN 13: 9783836488419
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 39.71
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3836488418 ISBN 13: 9783836488419
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3836488418 ISBN 13: 9783836488419
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2013
ISBN 10: 3836488418 ISBN 13: 9783836488419
Kartoniert / Broschiert. Condition: New. Text Categorization is the task of assigning predefined labels to textual documents. Current research has been focused on using word based representations called bag-of-words (BOW) with strong statistical learners. Few studies have explored the use of more .
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NLP-Driven Document Representations for Text Categorization | Empirical Selection of NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2013
ISBN 10: 3836488418 ISBN 13: 9783836488419
Taschenbuch. Condition: Neu. NLP-Driven Document Representations for Text Categorization | Empirical Selection of NLP-Driven Document Representations for Text Categorization | Ozgur Yilmazel | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783836488419 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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NLP-Driven Document Representations for Text Categorization : Empirical Selection of NLP-Driven Document Representations for Text Categorization
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3836488418 ISBN 13: 9783836488419
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Text Categorization is the task of assigning predefined labels to textual documents. Current research has been focused on using word based representations called bag-of-words (BOW) with strong statistical learners. Few studies have explored the use of more complex Natural Language Processing (NLP) driven representations based on phrases, proper names and word senses. None of these had definitive results on these features benefits for text categorization problems. This book studies the use of NLP-driven document representations captured at many different levels of language processing, and shows that NLP-driven document representations improve text categorization. A methodology, called Empirical Selection Methodology for NLP-driven document representations , is presented. Methodology helps to select document representations for each category in the categorization problem. The methodology should help Text Categorization researchers as well as researchers working on other classification problems, because it is generalizable, and can produce better instance representations for different learning problems.
