Text analysis in Python for social scientists : discovery and exploration / Dirk Hovy.
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). Man...
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| Online Access: |
Full Text (via Cambridge) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, United Kingdom ; New York, NY :
Cambridge University Press,
2020.
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| Series: | Elements in quantitative and computational methods for social science.
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| Subjects: |
| Summary: | 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. |
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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781108873352 1108873359 |
| DOI: | 10.1017/9781108873352 |
| Source of Description, Etc. Note: | Description based on online resource; title from digital title page (viewed on January 04, 2021). |