Text analysis in Python for social scientists[electronic resource] :discovery and exploration
- 作者: Hovy, Dirk.
- 出版: Cambridge : Cambridge University Press 2020.
- 稽核項: 95 p. :ill., digital ;23 cm.
- 叢書名: Cambridge elements. Elements in quantitative and computational methods for the social sciences,
- 標題: ResearchMethodology. , Python (Computer program language) , Social sciences , Social sciences Research -- Methodology.
- ISBN: 1108819826 , 9781108819824
- ISBN: 2398-4023
- 試查全文@TNUA:
- 附註: Title from publisher's bibliographic system (viewed on 11 Jan 2021).
- 摘要: 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.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://doi.org/10.1017/9781108873352
- 系統號: 005338360
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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.
來源: Google Book
來源: Google Book
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