Natural Language Processing with Python > Processing Raw Text

Table of Contents

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Preface

Ch. 1. Language Processing and Python

Ch. 2. Accessing Text Corpora and Lexical Resources

Ch. 3. Processing Raw Text

Accessing Text from the Web and from Disk

Strings: Text Processing at the Lowest Level

Text Processing with Unicode

Regular Expressions for Detecting Word Patterns

Useful Applications of Regular Expressions

Normalizing Text

Regular Expressions for Tokenizing Text

Segmentation

Formatting: From Lists to Strings

Summary

Further Reading

Exercises

Ch. 4. Writing Structured Programs

Ch. 5. Categorizing and Tagging Words

Ch. 6. Learning to Classify Text

Ch. 7. Extracting Information from Text

Ch. 8. Analyzing Sentence Structure

Ch. 9. Building Feature-Based Grammars

Ch. 10. Analyzing the Meaning of Sentences

Ch. 11. Managing Linguistic Data

afterword A: Afterword: The Language Challenge

afterword B: Bibliography

Colophon

Index

Chapter 3. Processing Raw Text

The most important source of texts is undoubtedly the Web. It’s convenient to have existing text collections to explore, such as the corpora we saw in the previous chapters. However, you probably have your own text sources in mind, and need to learn how to access them.

The goal of this chapter is to answer the following questions:

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Contents

Chapter 3. Processing Raw Text

Chapter 3. Processing Raw Text