The promise of machine-learning-driven text analysis techniques for historical research : topic modeling and word embedding
Year of publication: |
2023
|
---|---|
Authors: | Martin, Marta Villamor ; Kirsch, David A. ; Prieto-Nañez, Fabian |
Published in: |
Management & organizational history : M&OH. - Abingdon : Routledge, Taylor & Francis Group, ISSN 1744-9367, ZDB-ID 2221871-3. - Vol. 18.2023, 1, p. 81-96
|
Subject: | formal/informal markets | historical analaysis | institutional theory | institutional voids | satellite television | structural topic modeling | text analsysis technique | Topic modeling |
-
A review of best practice recommendations for text analysis in R (and a user-friendly app)
Banks, George C., (2018)
-
Past, present and future of research in relationship marketing : a machine learning perspective
Das, Kallol, (2022)
-
Dwivedi, Yogesh K., (2023)
- More ...
-
McAllum, Kirstie, (2024)
-
Kirsch, David A., (1997)
-
Pillai, Sandeep D., (2019)
- More ...