Text Analysis Pipelines (Record no. 57353)
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000 -LEADER | |
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fixed length control field | 03420nam a22005775i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-25741-9 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112220.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 151202s2015 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319257419 |
-- | 978-3-319-25741-9 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 025.04 |
100 1# - AUTHOR NAME | |
Author | Wachsmuth, Henning. |
245 10 - TITLE STATEMENT | |
Title | Text Analysis Pipelines |
Sub Title | Towards Ad-hoc Large-Scale Text Mining / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2015. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XX, 302 p. 74 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Lecture Notes in Computer Science, |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-25741-9 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2015. |
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-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computers. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical logic. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Database management. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information storage and retrieval. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information Storage and Retrieval. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information Systems Applications (incl. Internet). |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence (incl. Robotics). |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical Logic and Formal Languages. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Database Management. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computation by Abstract Devices. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 0302-9743 ; |
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