Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 86,20
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Librería: preigu, Osnabrück, Alemania
EUR 47,85
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Semantics of Short Texts | A Comprehensive Knowledge of Short Texts in Effective Utilizing and Analysis Semantic Knowledge | A. Daveedu Raju (u. a.) | Taschenbuch | 100 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200507488 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Librería: Buchpark, Trebbin, Alemania
EUR 25,95
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Understanding short texts is crucial to many applications, but challenges abound. Here we focus on short texts which refer to texts with limited context. These short texts are produced, including Search queries, Tags, Keywords, Conversation or Social posts and containing limited context. Semantic knowledge is required in order to better understand short texts. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing tools, ranging from part-of-speech tagging to dependency parsing, cannot be easily applied. Second, short texts usually do not contain sufficient statistical signals to support many state-of-the-art approaches for text mining such as topic modeling. Third, short texts are more ambiguous and noisier and are generated in an enormous volume, which further increases the difficulty to handle them. the book deals the knowledge-intensive approaches for discovering semantics of short texts.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2020, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 54,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Understanding short texts is crucial to many applications, but challenges abound. Here we focus on short texts which refer to texts with limited context. These short texts are produced, including Search queries, Tags, Keywords, Conversation or Social posts and containing limited context. Semantic knowledge is required in order to better understand short texts. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing tools, ranging from part-of-speech tagging to dependency parsing, cannot be easily applied. Second, short texts usually do not contain sufficient statistical signals to support many state-of-the-art approaches for text mining such as topic modeling. Third, short texts are more ambiguous and noisier and are generated in an enormous volume, which further increases the difficulty to handle them. the book deals the knowledge-intensive approaches for discovering semantics of short texts. 100 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Librería: Majestic Books, Hounslow, Reino Unido
EUR 86,06
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 87,29
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2020, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 54,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Understanding short texts is crucial to many applications, but challenges abound. Here we focus on short texts which refer to texts with limited context. These short texts are produced, including Search queries, Tags, Keywords, Conversation or Social posts and containing limited context. Semantic knowledge is required in order to better understand short texts. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing tools, ranging from part-of-speech tagging to dependency parsing, cannot be easily applied. Second, short texts usually do not contain sufficient statistical signals to support many state-of-the-art approaches for text mining such as topic modeling. Third, short texts are more ambiguous and noisier and are generated in an enormous volume, which further increases the difficulty to handle them. the book deals the knowledge-intensive approaches for discovering semantics of short texts.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 55,56
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Understanding short texts is crucial to many applications, but challenges abound. Here we focus on short texts which refer to texts with limited context. These short texts are produced, including Search queries, Tags, Keywords, Conversation or Social posts and containing limited context. Semantic knowledge is required in order to better understand short texts. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing tools, ranging from part-of-speech tagging to dependency parsing, cannot be easily applied. Second, short texts usually do not contain sufficient statistical signals to support many state-of-the-art approaches for text mining such as topic modeling. Third, short texts are more ambiguous and noisier and are generated in an enormous volume, which further increases the difficulty to handle them. the book deals the knowledge-intensive approaches for discovering semantics of short texts.