MARC details
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04604nam a22005295i 4500 |
| 001 - CONTROL NUMBER |
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978-1-84628-754-1 |
| 003 - CONTROL NUMBER IDENTIFIER |
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DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20170628033905.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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100301s2007 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781846287541 |
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978-1-84628-754-1 |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/978-1-84628-754-1 |
| Source of number or code |
doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA75.5-76.95 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UNH |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UND |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM030000 |
| Source |
bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
025.04 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Kao, Anne. |
| Relator term |
editor. |
| 245 10 - TITLE STATEMENT |
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| Title |
Natural Language Processing and Text Mining |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc |
edited by Anne Kao, Stephen R. Poteet. |
| 264 #1 - |
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London : |
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Springer London, |
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2007. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
XII, 265 p. |
| Other physical details |
online resource. |
| 336 ## - |
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text |
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txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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online resource |
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cr |
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rdacarrier |
| 347 ## - |
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text file |
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PDF |
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rda |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Overview -- Extracting Product Features and Opinions from Reviews -- Extracting Relations from Text: From Word Sequences to Dependency Paths -- Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles -- A Case Study in Natural Language Based Web Search -- Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models -- Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures -- Automatic Document Separation: A Combination of Probabilistic Classification and Finite-State Sequence Modeling -- Evolving Explanatory Novel Patterns for Semantically-Based Text Mining -- Handling of Imbalanced Data in Text Classification: Category-Based Term Weights -- Automatic Evaluation of Ontologies -- Linguistic Computing with UNIX Tools. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
With the increasing importance of the Web and other text-heavy application areas, the demands for and interest in both text mining and natural language processing (NLP) have been rising. Researchers in text mining have hoped that NLP—the attempt to extract a fuller meaning representation from free text—can provide useful improvements to text mining applications of all kinds. Bringing together a variety of perspectives from internationally renowned researchers, Natural Language Processing and Text Mining not only discusses applications of certain NLP techniques to certain Text Mining tasks, but also the converse, i.e., use of Text Mining to facilitate NLP. It explores a variety of real-world applications of NLP and text-mining algorithms in comprehensive detail, placing emphasis on the description of end-to-end solutions to real problems, and detailing the associated difficulties that must be resolved before the algorithm can be applied and its full benefits realized. In addition, it explores a number of cutting-edge techniques and approaches, as well as novel ways of integrating various technologies. Nevertheless, even readers with only a basic knowledge of data mining or text mining will benefit from the many illustrative examples and solutions. Topics and features: • Describes novel and high-impact text mining and/or natural language applications • Points out typical traps in trying to apply NLP to text mining • Illustrates preparation and preprocessing of text data – offering practical issues and examples • Surveys related supporting techniques, problem types, and potential technique enhancements • Examines the interaction of text mining and NLP This state-of-the-art, practical volume will be an essential resource for professionals and researchers who wish to learn how to apply text mining and language processing techniques to real world problems. In addition, it can be used as a supplementary text for advanced students studying text mining and NLP. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Information theory. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Information storage and retrieval systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Information systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Electronic data processing. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Information Storage and Retrieval. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computing Methodologies. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Processor Architectures. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Theory of Computation. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Information Systems Applications (incl.Internet). |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer Appl. in Administrative Data Processing. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Poteet, Stephen R. |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Display text |
Printed edition: |
| International Standard Book Number |
9781846281754 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/978-1-84628-754-1">http://dx.doi.org/10.1007/978-1-84628-754-1</a> |
| 912 ## - |
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ZDB-2-SCS |
