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Opis

This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write programs to 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.§§Perfect for individual study, or as a classroom and workshop textbook, Natural Language Processing with Python will help you:§ Extract information from unstructured text, 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§§You will gain practical skills in Natural Language Processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library, with the help of an engaging presentation packed with well-motivated examples and exercises.§§If you're interested in developing Web applications, or analyzing multilingual news sources, or documenting endangered languages, or if you are simply curious to have a programmer's perspective on how human language works, Natural Language Processing with Python will guide, fascinate, and open your eyes to a new perspective of humankind's crowning achievement: natural language.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer programming / software development Web programming

• Pełny tytuł: Natural Language Processing with Python
• Autor: Steven Bird, Ewan Klein, Edward Loper, Julie Steele, Robert Romano
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 504
• EAN: 9780596516499
• ISBN: 0596516495
• ID: 04109438
• Wydawca: O'Reilly Media
• Waga: 872 g
• Wymiary: 178 × 234 × 26 mm
• Data wydania: 04. August 2009

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