Description
| Product ID: | 9781108819824 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | Elements in Quantitative and Computational Methods for the Social Sciences |
| Title: | Text Analysis in Python for Social Scientists |
| Subtitle: | Discovery and Exploration |
| Authors: | Author: Dirk Hovy |
| Page Count: | 75 |
| Subjects: | Research methods: general, Research methods: general, Social research and statistics, Data capture and analysis, Data mining, Social research & statistics, Data capture & analysis, Data mining |
| Description: | Select Guide Rating 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. |
| Imprint Name: | Cambridge University Press |
| Publisher Name: | Cambridge University Press |
| Country of Publication: | GB |
| Publishing Date: | 2021-01-21 |
