Text analysis in Python for social scientists : discovery and exploration /
| Main Author: | |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, United Kingdom ; New York, NY :
Cambridge University Press,
2020.
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| Series: | Elements in quantitative and computational methods for social science.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction
- Background
- 1. Prerequisites
- 2. What's in a word
- 3. Regular expressions
- 4. Pointwise mutual information
- 5. Representing text
- Exploration: finding structure in the data
- 6. Matrix factorization
- 7. Clustering
- 8. Language models
- 9. Topic models
- Appendix A: English stopwords
- Appendix B: Probabilities
- References.