Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis

Show full item record



Permalink

http://hdl.handle.net/10138/336532

Citation

Pääkkönen , J 2021 , Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis . in A Licastro & B Miller (eds) , Composition and Big Data . Pittsburgh Series in Composition, Literacy, and Culture , University of Pittsburgh press .

Title: Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis
Author: Pääkkönen, Juho
Editor: Licastro, Amanda; Miller, Benjamin
Contributor: University of Helsinki, Academic Disciplines of the Faculty of Social Sciences
Publisher: University of Pittsburgh press
Date: 2021-11-02
Language: eng
Belongs to series: Composition and Big Data
Belongs to series: Pittsburgh Series in Composition, Literacy, and Culture
URI: http://hdl.handle.net/10138/336532
Subject: 5141 Sociology
113 Computer and information sciences
Rights:


Files in this item

Total number of downloads: Loading...

Files Size Format View
14_interpretation_and_model_selection.pdf 212.1Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record