Hovy Text Analysis in Python for Social Scientists

Discovery and Exploration
Erscheinungsjahr 2020
ISBN: 978-1-108-88301-6
Verlag: Cambridge University Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 0 Seiten

Reihe: Elements in Quantitative and Computational Methods for the Social Sciences

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.

Autoren/Hrsg.

Hovy, Dirk

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

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.