Text Analysis Pipelines is popular PDF and ePub book, written by Henning Wachsmuth in 2015-12-02, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Text Analysis Pipelines can be Read Online from any device for your convenience.
Text Analysis Pipelines Book PDF Summary
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.
Detail Book of Text Analysis Pipelines PDF
- Author : Henning Wachsmuth
- Release : 02 December 2015
- Publisher : Springer
- ISBN : 9783319257419
- Genre : Computers
- Total Page : 317 pages
- Language : English
- PDF File Size : 17,7 Mb
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