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Published by Information Age Publishing, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Hardcover. Condition: As New. This book has been in storage since publication and is unread. Hence the description 'as new'. Synopsis: Why do people from similar backgrounds who read the same text construct different meanings? Is there a question behind every reading goal, such that reading is an interactive process of asking and answering of questions? Do people who believe that knowledge is dynamic construct meaning differently than those who believe that knowledge is certain? This volume addresses questions such as these and presents cutting edge research and theory that explores how readers determine text relevance (i.e., the different values they assign to information as they read), how relevance affects understanding, and the implications of these studies for theories of text comprehension. This volume documents in a compelling manner the ongoing international effort to understand how text relevance affects reading and comprehension.
Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Language: English
Published by Information Age Publishing 2011-08-01, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Published by Information Age Publishing, 2011
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Published by Information Age Publishing, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Taschenbuch. Condition: Neu. Relevance Instruction in Text Processing | The Effect of Specificity of Relevance Instruction on Reading Time and Learning | Matthew McCrudden | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639138153 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by Information Age Publishing, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Published by Information Age Publishing, 2011
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Published by Information Age Publishing, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Published by Information Age Publishing, 2011
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Published by Information Age Publishing, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Language: English
Published by LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659233455 ISBN 13: 9783659233456
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Published by Information Age Pub Inc, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Language: English
Published by Emerald Publishing Limited, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Published by Emerald Publishing Limited, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Language: English
Published by LAP LAMBERT Academic Publishing Mär 2014, 2014
ISBN 10: 3659233455 ISBN 13: 9783659233456
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The context oriented information retrieval has always been based on some or the other explicit ontologies. The emphasis is laid on on the Implicit Ontologies extracted from input text documents themselves. The research focuses upon design of a system (tool) to rank text documents available in machine-readable format by analyzing them upon softcopies of the syllabus content, through congenial content filtering techniques. The notion of n-gram co-occurrences is used to give the semantic interpretation to the core sentences and their neighboring components. The semantic depths of search key phrases can be learnt by analyzing term-to-term associations from the underlying conceptual dependencies of the extracted content. Two metric measures were chosen for exploring text-semantic depths namely, Topical boundaries and Topical vicinities. The degree of relative relevance was investigated by computing other relevance metric, contextual levels of term-significance from the filtered pages with meaningfully related content. The text-document ranking results were compared for both relevance number and fuzzy-ordering approaches and were found interpretable in finite directions. 180 pp. Englisch.
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Published by LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659233455 ISBN 13: 9783659233456
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rawal ArpanaDr. A.Rawal is working as Associate Professor in Department of Information Technology at Bhilai Institute of Technology, Durg, Chhattisgarh, India. She has 11 journal and 19 conference publications to her credit. She was .
Language: English
Published by Emerald Publishing Limited, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Language: English
Published by Information Age Publishing, 2011
ISBN 10: 1617355291 ISBN 13: 9781617355295
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnWhy do people from similar backgrounds who read the same text construct different meanings? Is there anquestion behind every reading goal, such that reading is an interactive process of asking and answering ofnquestions? Do people.
Language: English
Published by LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659233455 ISBN 13: 9783659233456
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Taschenbuch. Condition: Neu. Machine Learning for Text Document Relevance Ranking | Arpana Rawal (u. a.) | Taschenbuch | 180 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659233456 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.
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Published by Emerald Publishing Limited, 2011
ISBN 10: 1617355305 ISBN 13: 9781617355301
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Published by LAP LAMBERT Academic Publishing Mär 2014, 2014
ISBN 10: 3659233455 ISBN 13: 9783659233456
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The context oriented information retrieval has always been based on some or the other explicit ontologies. The emphasis is laid on on the Implicit Ontologies extracted from input text documents themselves. The research focuses upon design of a system (tool) to rank text documents available in machine-readable format by analyzing them upon softcopies of the syllabus content, through congenial content filtering techniques. The notion of n-gram co-occurrences is used to give the semantic interpretation to the core sentences and their neighboring components. The semantic depths of search key phrases can be learnt by analyzing term-to-term associations from the underlying conceptual dependencies of the extracted content. Two metric measures were chosen for exploring text-semantic depths namely, Topical boundaries and Topical vicinities. The degree of relative relevance was investigated by computing other relevance metric, contextual levels of term-significance from the filtered pages with meaningfully related content. The text-document ranking results were compared for both relevance number and fuzzy-ordering approaches and were found interpretable in finite directions.Books on Demand GmbH, Überseering 33, 22297 Hamburg 180 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659233455 ISBN 13: 9783659233456
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The context oriented information retrieval has always been based on some or the other explicit ontologies. The emphasis is laid on on the Implicit Ontologies extracted from input text documents themselves. The research focuses upon design of a system (tool) to rank text documents available in machine-readable format by analyzing them upon softcopies of the syllabus content, through congenial content filtering techniques. The notion of n-gram co-occurrences is used to give the semantic interpretation to the core sentences and their neighboring components. The semantic depths of search key phrases can be learnt by analyzing term-to-term associations from the underlying conceptual dependencies of the extracted content. Two metric measures were chosen for exploring text-semantic depths namely, Topical boundaries and Topical vicinities. The degree of relative relevance was investigated by computing other relevance metric, contextual levels of term-significance from the filtered pages with meaningfully related content. The text-document ranking results were compared for both relevance number and fuzzy-ordering approaches and were found interpretable in finite directions.