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Text analysis in Python for social scientists : = discovery and exploration /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Text analysis in Python for social scientists :/ Dirk Hovy.
Reminder of title:	discovery and exploration /
Author:	Hovy, Dirk,
Description:	1 online resource (95 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 11 Jan 2021).
Subject:	Social sciences - Research -
Online resource:	https://doi.org/10.1017/9781108873352
ISBN:	9781108873352 (ebook)

Text analysis in Python for social scientists : = discovery and exploration /
Hovy, Dirk,

Text analysis in Python for social scientists :discovery and exploration /Dirk Hovy. - 1 online resource (95 pages) :digital, PDF file(s). - Cambridge elements. Elements in quantitative and computational methods for the social sciences,2398-4023.

Title from publisher's bibliographic system (viewed on 11 Jan 2021).

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.

ISBN: 9781108873352 (ebook)Subjects--Topical Terms:

555192
Social sciences
--Research

LC Class. No.: H62 / .H69 2020

Dewey Class. No.: 300.72

Text analysis in Python for social scientists : = discovery and exploration /
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