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Can I read Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit on EtoBox?

Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit by Steven Bird, Ewan Klein, Edward Loper is a science book available to read on EtoBox.

What is Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit about?

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. 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 applicatio

Who reads Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Steven Bird, Ewan Klein, Edward Loper
Publisher
O'Reilly Media, Incorporated
Published
2009
Language
EN
ISBN
9780596550967
Category
science
Subjects
Computer Science, Science, Programming
Rating
4.4 / 5 (200 ratings)
Updated
2026-03-14

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