Text Analysis in Python for Social Scientists: Discovery and Exploration

by Dirk Hovy

Overview

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

ISBN-13:	9781108819824
Publisher:	Cambridge University Press
Publication date:	01/21/2021
Series:	Elements in Quantitative and Computational Methods for the Social Sciences
Pages:	75
Product dimensions:	5.98(w) x 8.98(h) x 0.28(d)

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.