Table of Contents for
Applied Text Analysis with Python
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Applied Text Analysis with Python
by Tony Ojeda
Published by O'Reilly Media, Inc., 2018
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Applied Text Analysis with Python
Applied Text Analysis with Python
Preface
1. Language and Computation
2. Building a Custom Corpus
3. Corpus Preprocessing and Wrangling
4. Text Vectorization and Transformation Pipelines
5. Classification for Text Analysis
6. Clustering for Text Similarity
7. Context-Aware Text Analysis
8. Text Visualization
9. Graph Analysis of Text
10. Chatbots
11. Scaling Text Analytics with Multiprocessing and Spark
12. Deep Learning and Beyond
Glossary
Index
About the Authors
Colophon
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