Text Analysis In Python For Social Scientists

Download Text Analysis In Python For Social Scientists full books in PDF, epub, and Kindle. Read online free Text Analysis In Python For Social Scientists ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Text Analysis in Python for Social Scientists

Text Analysis in Python for Social Scientists
Author :
Publisher : Cambridge University Press
Total Pages : 102
Release :
ISBN-10 : 9781108963091
ISBN-13 : 1108963099
Rating : 4/5 (099 Downloads)

Book Synopsis Text Analysis in Python for Social Scientists by : Dirk Hovy

Download or read book Text Analysis in Python for Social Scientists written by Dirk Hovy and published by Cambridge University Press. This book was released on 2022-03-17 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Text Analysis in Python for Social Scientists Related Books