Text Analysis Pipelines (Record no. 96398)
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000 -LEADER | |
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fixed length control field | 03751nam a22006255i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-25741-9 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730201202.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 151202s2015 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783319257419 |
-- | 978-3-319-25741-9 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-3-319-25741-9 |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA75.5-76.95 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UNH |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UND |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM030000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UNH |
Source | thema |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UND |
Source | thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 025.04 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Wachsmuth, Henning. |
Relator term | author. |
Relationship | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
9 (RLIN) | 166202 |
245 10 - TITLE STATEMENT | |
Title | Text Analysis Pipelines |
Medium | [electronic resource] : |
Remainder of title | Towards Ad-hoc Large-Scale Text Mining / |
Statement of responsibility, etc. | by Henning Wachsmuth. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2015. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Cham : |
Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
-- | Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice | 2015. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XX, 302 p. 74 illus. in color. |
Other physical details | online resource. |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS | |
File type | text file |
Encoding format | |
Source | rda |
490 1# - SERIES STATEMENT | |
Series statement | Theoretical Computer Science and General Issues, |
International Standard Serial Number | 2512-2029 ; |
Volume/sequential designation | 9383 |
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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Information storage and retrieval systems. |
9 (RLIN) | 22213 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Application software. |
9 (RLIN) | 166203 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence. |
9 (RLIN) | 3407 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Machine theory. |
9 (RLIN) | 166204 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Database management. |
9 (RLIN) | 3157 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer science. |
9 (RLIN) | 9832 |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Information Storage and Retrieval. |
9 (RLIN) | 23927 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer and Information Systems Applications. |
9 (RLIN) | 166205 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial Intelligence. |
9 (RLIN) | 3407 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Formal Languages and Automata Theory. |
9 (RLIN) | 166206 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Database Management. |
9 (RLIN) | 3157 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Theory of Computation. |
9 (RLIN) | 166207 |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
9 (RLIN) | 166208 |
773 0# - HOST ITEM ENTRY | |
Title | Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783319257402 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783319257426 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Theoretical Computer Science and General Issues, |
International Standard Serial Number | 2512-2029 ; |
Volume/sequential designation | 9383 |
9 (RLIN) | 166209 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-319-25741-9">https://doi.org/10.1007/978-3-319-25741-9</a> |
912 ## - | |
-- | ZDB-2-SCS |
912 ## - | |
-- | ZDB-2-SXCS |
912 ## - | |
-- | ZDB-2-LNC |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks-Lecture Notes in CS |
No items available.