Title: Text Analysis in Python for Social Scientists (Paperback or Softback)
Publisher: Cambridge University Press 3/17/2022
Publication Date: 2022
Language: English
ISBN 10: 1108958508
ISBN 13: 9781108958509
Binding: Paperback or Softback
Condition: New
Weight: 0.32 pounds
Book Type: Book

About this title

Synopsis

Text contains a wealth of information about about a wide variety of sociocultural constructs. Automated prediction methods can infer these quantities (sentiment analysis is probably the most well-known application). However, there is virtually no limit to the kinds of things we can predict from text: power, trust, misogyny, are all signaled in language. These algorithms easily scale to corpus sizes infeasible for manual analysis. Prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. However, applying these techniques usually requires profound programming knowledge and machine learning expertise. As a result, many social scientists do not apply them. 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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