Assessing text mining algorithm outcomes
Triss Ashton, Nicholas Evangelopoulos, Audhesh Paswan, Victor R. Prybutok and Robert Pavur
| Year of publication: |
2020
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|---|---|
| Authors: | Ashton, Triss ; Evangelopoulos, Nicholas ; Paswan, Audhesh ; Prybutok, Victor R. ; Pavur, Robert J. |
| Published in: |
Journal of business analytics. - London : Taylor & Francis Group, ISSN 2573-2358, ZDB-ID 2907637-7. - Vol. 3.2020, 2, p. 107-121
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| Subject: | Text mining | algorithm testing | model development | latent semantic analysis | latent Dirichlet allocation | Data Mining | Data mining | Algorithmus | Algorithm | Text | Theorie | Theory |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/2573234X.2020.1785342 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012383997