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Text Analysis Pipelines - Henning Wachsmuth
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12, ISBN: 9783319257419

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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 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. Information Storage & Retrievel, Database Management, Text Analysis Pipelines~~ Henning Wachsmuth~~Information Storage & Retrievel~~Database Management~~9783319257419, en, Text Analysis Pipelines, Henning Wachsmuth, 9783319257419, Springer, 12/02/2015, , , , Springer, 12/02/2015

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Text Analysis Pipelines - Henning Wachsmuth
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Henning Wachsmuth:
Text Analysis Pipelines - neues Buch

2015, ISBN: 9783319257419

ID: 689512212

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. Towards Ad-hoc Large-Scale Text Mining eBooks > Fremdsprachige eBooks > Englische eBooks > Sach- & Fachthemen > Mathematik PDF 02.12.2015 eBook, Springer, .201

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Text Analysis Pipelines - Henning Wachsmuth
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Text Analysis Pipelines - neues Buch

ISBN: 9783319257419

ID: 9783319257419

Computer Science; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Artificial Intelligence (incl. Robotics); Mathematical Logic and Formal Languages; Database Management; Computation by Abstract Devices 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 Books eBook, Springer Science+Business Media

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Text Analysis Pipelines als eBook Download von Henning Wachsmuth - Henning Wachsmuth
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Text Analysis Pipelines:Towards Ad-hoc Large-Scale Text Mining Henning Wachsmuth Text Analysis Pipelines:Towards Ad-hoc Large-Scale Text Mining Henning Wachsmuth eBooks > Sachthemen & Ratgeber > Computer & Internet, Springer International Publishing

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Towards Ad-hoc Large-Scale Text Mining Towards Ad-hoc Large-Scale Text Mining eBooks > Sachthemen Ratgeber > Computer Internet

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