Book description
NoneTable of contents
- 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
Product information
- Title: Applied Text Analysis with Python
- Author(s):
- Release date:
- Publisher(s):
- ISBN: None
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