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Text Analysis Pipelines - Henning Wachsmuth
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Henning Wachsmuth:
Text Analysis Pipelines - Taschenbuch

ISBN: 9783319257402

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, 302, [GW: 507g], offene Rechnung (Vorkasse vorbehalten), PayPal, Banküberweisung

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Text Analysis Pipelines Towards Ad-hoc Large-Scale Text Mining - Wachsmuth, Henning (Herausgeber)
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Wachsmuth, Henning (Herausgeber):
Text Analysis Pipelines Towards Ad-hoc Large-Scale Text Mining - neues Buch

2016, ISBN: 3319257404

ID: A25749143

Kartoniert / Broschiert Data Mining (EDV), COMPUTERS / System Administration / Storage & Retrieval, Internetrecherche, Suchmaschinen, Datenbankprogrammierung, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, Künstliche Intelligenz, Interfacedesign, Benutzerfreundlichkeit (Usability), Data Mining, 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 classification, mit Schutzumschlag neu, [PU:Springer-Verlag GmbH; Springer International Publishing]

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Text Analysis Pipelines - Henning Wachsmuth
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Henning Wachsmuth:
Text Analysis Pipelines - Taschenbuch

1, ISBN: 9783319257402

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 233x154x20 mm, 302, [GW: 507g], PayPal, Banküberweisung, Internationaler Versand

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Text Analysis Pipelines: Towards Ad-hoc Large-scale Text Mining - Henning Wachsmuth
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Henning Wachsmuth:
Text Analysis Pipelines: Towards Ad-hoc Large-scale Text Mining - neues Buch

ISBN: 9783319257402

ID: 978331925740

Text Analysis Pipelines: Towards Ad-hoc Large-scale Text Mining Henning Wachsmuth, Books, Computers, Text Analysis Pipelines: Towards Ad-hoc Large-scale Text Mining Books>Computers, Springer International Publishing

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Text Analysis Pipelines - Henning Wachsmuth
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Henning Wachsmuth:
Text Analysis Pipelines - Taschenbuch

2015, ISBN: 9783319257402

ID: 33266480

Towards Ad-hoc Large-Scale Text Mining, 1st ed. 2015, Softcover, Buch, [PU: Springer International Publishing]

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Details zum Buch
Text Analysis Pipelines

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.


Detailangaben zum Buch - Text Analysis Pipelines


EAN (ISBN-13): 9783319257402
ISBN (ISBN-10): 3319257404
Taschenbuch
Erscheinungsjahr: 2015
Herausgeber: Springer-Verlag Gmbh

Buch in der Datenbank seit 29.09.2015 21:29:31
Buch zuletzt gefunden am 04.12.2017 21:24:33
ISBN/EAN: 9783319257402

ISBN - alternative Schreibweisen:
3-319-25740-4, 978-3-319-25740-2


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