Natural Language Processing with Python

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.

Natural Language Processing with Python

Steven Bird, Ewan Klein

O’Reilly Media

2009

Abstract

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.

Contents:

• Language processing and python;
• Accessing text corpora and lexical resources;
• Processing raw text;
• Writing structured programs;
• Categorizing and tagging words;
• Learning to classify text;
• Extracting information from text; Analyzing sentence structure;
• Building feature-based grammars;
• Analyzing the meaning of sentences;
• Managing linguistic data.

Citation

Steven Bird, Ewan Klein; Natural Language Processing with Python; O’Reilly Media; 2009

Collection

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