Dirk Hovy (Milan Universita Commerciale Luigi Bocconi)

Text Analysis in Python for Social Scientists

• Broschiertes Buch

Produktbeschreibung

This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods.

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Produktdetails

• Elements in Quantitative and Computational Methods for the Social Sciences
• Verlag: Cambridge University Press
• 2nd edition
• Seitenzahl: 75
• Erscheinungstermin: 17. März 2022
• Englisch
• Abmessung: 225mm x 147mm x 7mm
• Gewicht: 160g
• ISBN-13: 9781108958509
• ISBN-10: 1108958508
• Artikelnr.: 62712448

Inhaltsangabe

1. Introduction
2. Ethics, Fairness, and Bias
3. Classification
4. Text as Input
5. Labels
6. Train-Dev-Test
7. Performance Metrics
8. Comparison and Significance Testing
9. Overfitting and Regularization
10. Model Selection and Other Classifiers
11. Model Bias
12. Feature Selection
13. Structured Prediction
14. Neural Networks Background
15. Neural Architectures and Models.