Natural language processing with python (Record no. 9943)
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000 -LEADER | |
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fixed length control field | a |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20191102115302.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 191102b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9788184047486 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | AIKTC-KRRC |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | ENG |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Edition number | DDC23 |
Classification number | 005.133 |
Item number | BIR/KLE |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Bird, Steven |
9 (RLIN) | 5074 |
245 ## - TITLE STATEMENT | |
Title | Natural language processing with python |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Name of publisher, distributor, etc. | O'reilly |
Place of publication, distribution, etc. | Sebastopol |
Date of publication, distribution, etc. | 2009 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xx, 479p. |
Other physical details | | Binding - Paperback | |
Dimensions | 23.3*17 cm |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. |
Expansion of summary note | Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 4619 |
Topical term or geographic name entry element | EXTC Engineering |
700 ## - ADDED ENTRY--PERSONAL NAME | |
9 (RLIN) | 5075 |
Personal name | Klein, Ewan |
700 ## - ADDED ENTRY--PERSONAL NAME | |
9 (RLIN) | 5076 |
Personal name | Loper, Edward |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type | Text Books |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Cost, replacement price | Price effective from | Koha item type |
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Circulation | School of Engineering & Technology | School of Engineering & Technology | General Stacks | 2019-11-02 | 2 | 1020.00 | 1 | 005.133 BIR/KLE | E15037 | 2024-06-29 | 2022-04-12 | 1275.00 | 2019-11-02 | Text Books |