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Natural language processing with Python

Hodnotenie knihy

Parametre

  • 512 stránok
  • 18 hodin čítania

Viac o knihe

This book provides an accessible introduction to natural language processing, a field that underpins various language technologies such as predictive text, email filtering, automatic summarization, and translation. It guides you in writing Python programs to handle large collections of unstructured text. You'll learn to access richly annotated datasets using diverse linguistic data structures and grasp the main algorithms for analyzing written communication's content and structure. With numerous examples and exercises, you'll acquire skills to extract information from unstructured text, analyze linguistic structure through parsing and semantic analysis, and access popular linguistic databases like WordNet and treebanks. The book integrates techniques from linguistics and artificial intelligence, equipping you with practical skills in natural language processing using Python and the Natural Language Toolkit (NLTK) open-source library. Whether you're interested in developing web applications, analyzing multilingual news, documenting endangered languages, or simply exploring a programmer's view of human language, this resource will be both fascinating and immensely useful.

Nákup knihy

Natural language processing with Python, Steven Bird, Ewan Klein, Edward Loper

Jazyk
Rok vydania
2009
Väzba
(mäkká)
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4,1
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Titul
Natural language processing with Python
Jazyk
anglicky
Vydavateľ
O'Reilly
Rok vydania
2009
Väzba
mäkká
Počet strán
512
ISBN10
0596516495
ISBN13
9780596516499
Série
Hodnotenie
4,1 z 5
Anotácia
This book provides an accessible introduction to natural language processing, a field that underpins various language technologies such as predictive text, email filtering, automatic summarization, and translation. It guides you in writing Python programs to handle large collections of unstructured text. You'll learn to access richly annotated datasets using diverse linguistic data structures and grasp the main algorithms for analyzing written communication's content and structure. With numerous examples and exercises, you'll acquire skills to extract information from unstructured text, analyze linguistic structure through parsing and semantic analysis, and access popular linguistic databases like WordNet and treebanks. The book integrates techniques from linguistics and artificial intelligence, equipping you with practical skills in natural language processing using Python and the Natural Language Toolkit (NLTK) open-source library. Whether you're interested in developing web applications, analyzing multilingual news, documenting endangered languages, or simply exploring a programmer's view of human language, this resource will be both fascinating and immensely useful.