Text Analysis in Python for Social Scientists
Discovery and Exploration

A practical guide to text analysis with Python: the intuition, the math, the code.

Dirk Hovy (Author)

9781108819824, Cambridge University Press

Paperback / softback, published 21 January 2021

75 pages
22.8 x 15.2 x 0.7 cm, 0.172 kg

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.

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.

Subject Areas: Data mining [UNF], Data capture & analysis [UNC], Social research & statistics [JHBC], Society & social sciences [J], Research methods: general [GPS]