|
|
|
|
| LEADER |
03291nmm a2200673 u 4500 |
| 001 |
EB001947315 |
| 003 |
EBX01000000000000001110217 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
210123 ||| eng |
| 020 |
|
|
|a 193398838X
|
| 050 |
|
4 |
|a QA76.9.T48
|
| 100 |
1 |
|
|a Ingersoll, Grant S.
|
| 245 |
0 |
0 |
|a Taming text
|b how to find, organize, and manipulate it
|c Grant S. Ingersoll, Thomas S. Morton, Andrew L. Farris
|
| 260 |
|
|
|a Shelter Island, NY
|b Manning
|c 2013
|
| 300 |
|
|
|a 1 volume
|b illustrations
|
| 505 |
0 |
|
|a Includes bibliographical references and index
|
| 505 |
0 |
|
|a Getting started taming text -- Foundations of taming text -- Searching -- Fuzzy string matching -- Identifying people, places, and things -- Clustering text -- Classification, categorization, and tagging -- Building an example question answering system -- Untamed text : exploring the next frontier
|
| 653 |
|
|
|a Medical Informatics
|
| 653 |
|
|
|a Data mining / fast
|
| 653 |
|
|
|a Data Mining
|
| 653 |
|
|
|a Analytical, Diagnostic and Therapeutic Techniques and Equipment
|
| 653 |
|
|
|a Word Processing
|
| 653 |
|
|
|a Text processing (Computer science) / fast
|
| 653 |
|
|
|a Artificial intelligence / http://id.loc.gov/authorities/subjects/sh85008180
|
| 653 |
|
|
|a Methodology / fast
|
| 653 |
|
|
|a Intelligence artificielle
|
| 653 |
|
|
|a Computer Science / hilcc
|
| 653 |
|
|
|a Methods
|
| 653 |
|
|
|a Computing Methodologies
|
| 653 |
|
|
|a Investigative Techniques
|
| 653 |
|
|
|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
|
| 653 |
|
|
|a Engineering & Applied Sciences / hilcc
|
| 653 |
|
|
|a Information Storage and Retrieval
|
| 653 |
|
|
|a Information Science
|
| 653 |
|
|
|a Natural Language Processing
|
| 653 |
|
|
|a Artificial intelligence / fast
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Méthodologie
|
| 653 |
|
|
|a Methodology / http://id.loc.gov/authorities/subjects/sh85084414
|
| 653 |
|
|
|a Médecine / Informatique
|
| 653 |
|
|
|a artificial intelligence / aat
|
| 653 |
|
|
|a Text processing (Computer science) / http://id.loc.gov/authorities/subjects/sh85134304
|
| 653 |
|
|
|a Traitement automatique des langues naturelles
|
| 653 |
|
|
|a methodology / aat
|
| 653 |
|
|
|a Natural language processing (Computer science) / fast
|
| 653 |
|
|
|a Medical Informatics Applications
|
| 653 |
|
|
|a Traitement de texte
|
| 653 |
|
|
|a Exploration de données (Informatique)
|
| 653 |
|
|
|a Natural language processing (Computer science) / http://id.loc.gov/authorities/subjects/sh88002425
|
| 700 |
1 |
|
|a Morton, Thomas S.
|
| 700 |
1 |
|
|a Farris, Andrew L.
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781933988382/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 500
|
| 082 |
0 |
|
|a 005.72
|
| 082 |
0 |
|
|a 620
|
| 520 |
|
|
|a Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built
|