Text Analysis in Python for Social Scientists
Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language processing). Many of the basic analysis methods developed are now readily available as Python implementations. This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it.
Product details
January 2021Paperback
9781108819824
75 pages
228 × 152 × 7 mm
0.172kg
Available
Table of Contents
- 1. Prerequisites
- 2. What's in a Word
- 3. Regular Expressions
- 4. Pointwise Mutual Information
- 5. Representing Text
- 6. Matrix Factorization
- 7. Clustering
- 8. Language Models
- 9. Topic Models.
