Text Analysis in Python for Social Scientists
Discovery and Exploration
Seiten
2021
Cambridge University Press (Verlag)
978-1-108-81982-4 (ISBN)
Cambridge University Press (Verlag)
978-1-108-81982-4 (ISBN)
Text is a fantastic resource for social scientists, but because it is so abundant, and so variable, it can be difficult to extract the information we want. Many basic text analysis methods are available as Python implementations: this Element will teach you when to use which method, how it works, and the Python code to implement it.
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.
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.
| Erscheinungsdatum | 20.01.2021 |
|---|---|
| Reihe/Serie | Elements in Quantitative and Computational Methods for the Social Sciences |
| Zusatzinfo | Worked examples or Exercises |
| Verlagsort | Cambridge |
| Sprache | englisch |
| Maße | 152 x 228 mm |
| Gewicht | 172 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 1-108-81982-6 / 1108819826 |
| ISBN-13 | 978-1-108-81982-4 / 9781108819824 |
| Zustand | Neuware |
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