Advancing reproducibility and accountability of unsupervised machine learning in text mining : importance of transparency in reporting preprocessing and algorithm selection
L. Valtonen, Saku J. Mäkinen, and Johanna Kirjavainen
| Year of publication: |
2024
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|---|---|
| Authors: | Valtonen, L. ; Mäkinen, Saku J. ; Kirjavainen, Johanna |
| Published in: |
Organizational research methods : ORM. - London [u.a.] : Sage, ISSN 1552-7425, ZDB-ID 2029600-9. - Vol. 27.2024, 1, p. 88-113
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| Subject: | unsupervised machine learning | clustering | topic modeling | pattern discovery | exploratory data analysis | data preprocessing | Künstliche Intelligenz | Artificial intelligence | Data Mining | Data mining | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1177/10944281221124947 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014581624