Humanistic interpretation and machine learning.

This paper investigates how unsupervised machine learning methods might make hermeneutic interpretive text analysis more objective in the social sciences. Through a close examination of the uses of topic modeling—a popular unsupervised approach in the social sciences—it argues that the primary way i...

Full description

Bibliographic Details

Published in:	Synthese Vol. 199; no. 1/2; pp. 1461 - 1498
Main Authors:	Pääkkönen, Juho, Ylikoski, Petri
Format:	Article
Published:	Springer Nature Dec2021
Subjects:	Machine learning Objectivity
Online Access:	View this record in EBSCOhost