Fri Frakt över 299kr
Fri Frakt över 299kr
Kundservice
Text Analysis in Python for Social Scientists

Text Analysis in Python for Social Scientists

275 kr

275 kr

I lager

Ons, 16 jul - tis, 22 jul


Säker betalning

14-dagars öppet köp


Säljs och levereras av

Adlibris

Produktbeskrivning

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.

Artikel.nr.

cc74c113-cd60-55e7-9cc6-a8ced710a49f

Text Analysis in Python for Social Scientists

275 kr

275 kr

I lager

Ons, 16 jul - tis, 22 jul


Säker betalning

14-dagars öppet köp


Säljs och levereras av

Adlibris