Text Analysis Pipelines

Name: Text Analysis Pipelines
Brand: Springer International Publishing AG
SKU: 9783319257402
Price: 276.9 RON
Availability: InStock

Towards Ad-hoc Large-Scale Text Mining

Autor: Henning Wachsmuth

Limbă:

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Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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This monograph proposes a comprehensive and fully automatic approach to designing text analysis pipe...

Informații despre carte

Autor

Henning Wachsmuth

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2015

Pagini

302

EAN

9783319257402

ISBN

3319257404

Enbook ID

09545754

Editura

Springer International Publishing AG

Greutate

498

Dimensiuni

155 x 235 x 235

Descriere completă

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.§§

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Text Analysis Pipelines

Towards Ad-hoc Large-Scale Text Mining

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