Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining Henning Wachsmuth Author - libro nuevo
ISBN: 9783319257419
This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency … Más…
This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency and that robustly mine relevant information from text of any kind. Based on state-of-the-art techniques from machine learning and other areas of artificial intelligence, novel pipeline construction and execution algorithms are developed and implemented in prototypical software. Formal analyses of the algorithms and extensive empirical experiments underline that the proposed approach represents an essential step towards the ad-hoc use of text mining in web search and big data analytics.Both web search and big data analytics aim to fulfill peoples’ needs for information in an adhoc manner. The information sought for is often hidden in large amounts of natural language text. Instead of simply returning links to potentially relevant texts, leading search and analytics engines have started to directly mine relevant information from the texts. To this end, they execute text analysis pipelines that may consist of several complex information-extraction and text-classification stages. Due to practical requirements of efficiency and robustness, however, the use of text mining has so far been limited to anticipated information needs that can be fulfilled with rather simple, manually constructed pipelines. Digital Content>E-books>Technology>Apple>Other Database Tools, Springer International Publishing Digital >16<
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Henning Wachsmuth: Text Analysis Pipelines - libro nuevo
ISBN: 9783319257419
This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency … Más…
This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency and that robustly mine relevant information from text of any This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency and that robustly mine relevant information from text of any Electronics > Electronics Accessories > Cable Management, Springer<
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Henning Wachsmuth: Text Analysis Pipelines - libro nuevo
ISBN: 9783319257419
*Text Analysis Pipelines* - Towards Ad-hoc Large-Scale Text Mining / pdf eBook für 53.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als … Más…
*Text Analysis Pipelines* - Towards Ad-hoc Large-Scale Text Mining / pdf eBook für 53.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als pdf eBooks > Fachthemen & Wissenschaft > Mathematik, Springer-Verlag GmbH<
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Henning Wachsmuth: Text Analysis Pipelines - libro nuevo
ISBN: 9783319257419
Text Analysis Pipelines ab 69.49 € als pdf eBook: Towards Ad-hoc Large-Scale Text Mining. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik, Medien > Bücher nein eBook als pd… Más…
Text Analysis Pipelines ab 69.49 € als pdf eBook: Towards Ad-hoc Large-Scale Text Mining. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik, Medien > Bücher nein eBook als pdf eBooks > Fachthemen & Wissenschaft > Mathematik, Springer-Verlag GmbH<
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Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining Henning Wachsmuth Author - libro nuevo
ISBN: 9783319257419
This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency … Más…
This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency and that robustly mine relevant information from text of any kind. Based on state-of-the-art techniques from machine learning and other areas of artificial intelligence, novel pipeline construction and execution algorithms are developed and implemented in prototypical software. Formal analyses of the algorithms and extensive empirical experiments underline that the proposed approach represents an essential step towards the ad-hoc use of text mining in web search and big data analytics.Both web search and big data analytics aim to fulfill peoples’ needs for information in an adhoc manner. The information sought for is often hidden in large amounts of natural language text. Instead of simply returning links to potentially relevant texts, leading search and analytics engines have started to directly mine relevant information from the texts. To this end, they execute text analysis pipelines that may consist of several complex information-extraction and text-classification stages. Due to practical requirements of efficiency and robustness, however, the use of text mining has so far been limited to anticipated information needs that can be fulfilled with rather simple, manually constructed pipelines. Digital Content>E-books>Technology>Apple>Other Database Tools, Springer International Publishing Digital >16<
new in stock. Gastos de envío:zzgl. Versandkosten., más gastos de envío
This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency … Más…
This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency and that robustly mine relevant information from text of any This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipelines for arbitrary information needs that are optimal in terms of run-time efficiency and that robustly mine relevant information from text of any Electronics > Electronics Accessories > Cable Management, Springer<
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Henning Wachsmuth: Text Analysis Pipelines - libro nuevo
ISBN: 9783319257419
*Text Analysis Pipelines* - Towards Ad-hoc Large-Scale Text Mining / pdf eBook für 53.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als … Más…
*Text Analysis Pipelines* - Towards Ad-hoc Large-Scale Text Mining / pdf eBook für 53.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als pdf eBooks > Fachthemen & Wissenschaft > Mathematik, Springer-Verlag GmbH<
Gastos de envío:In stock (Download), , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., DE. (EUR 0.00)
Henning Wachsmuth: Text Analysis Pipelines - libro nuevo
ISBN: 9783319257419
Text Analysis Pipelines ab 69.49 € als pdf eBook: Towards Ad-hoc Large-Scale Text Mining. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik, Medien > Bücher nein eBook als pd… Más…
Text Analysis Pipelines ab 69.49 € als pdf eBook: Towards Ad-hoc Large-Scale Text Mining. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik, Medien > Bücher nein eBook als pdf eBooks > Fachthemen & Wissenschaft > Mathematik, Springer-Verlag GmbH<
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Detalles del libro - Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining Henning Wachsmuth Author
EAN (ISBN-13): 9783319257419 Año de publicación: 12 Editorial: Springer International Publishing Digital >16
Libro en la base de datos desde 2016-02-01T23:14:05+01:00 (Madrid) Página de detalles modificada por última vez el 2023-12-12T23:23:41+01:00 (Madrid) ISBN/EAN: 9783319257419
ISBN - escritura alterna: 978-3-319-25741-9 Mode alterno de escritura y términos de búsqueda relacionados: Autor del libro: wachsmuth, henning
Datos del la editorial
Autor: Henning Wachsmuth Título: Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Text Analysis Pipelines - Towards Ad-hoc Large-Scale Text Mining Editorial: Springer; Springer International Publishing 302 Páginas Año de publicación: 2015-12-02 Cham; CH Idioma: Inglés 53,49 € (DE) 55,00 € (AT) 59,00 CHF (CH) Available XX, 302 p. 74 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Informationsrückgewinnung, Information Retrieval; Verstehen; Efficienciy and effectiveness; Information extraction; Machine learning; Natural language processing; Text minig; Adaptive scheduling; Argumentation structure; Artificial intelligence; Big data; Domain robustness; Information structure; Language function analysis; Online learning; Parallelization; Pipeline; Pipeline design; Sentiment analysis; Similarity; Text analysis; Text classification; B; Information Storage and Retrieval; Computer and Information Systems Applications; Artificial Intelligence; Formal Languages and Automata Theory; Database Management; Theory of Computation; Computer Science; Data Warehousing; Angewandte Informatik; Künstliche Intelligenz; Theoretische Informatik; Datenbanken; BC
Both web search and big data analytics aim to fulfill peoples’ needs for information in an adhoc manner. The information sought for is often hidden in large amounts of natural language text. Instead of simply returning links to potentially relevant texts, leading search and analytics engines have started to directly mine relevant information from the texts. To this end, they execute text analysis pipelines that may consist of several complex information-extraction and text-classification stages. Due to practical requirements of efficiency and robustness, however, the use of text mining has so far been limited to anticipated information needs that can be fulfilled with rather simple, manually constructed pipelines.
Includes supplementary material: sn.pub/extras
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