Comparing automated text classification methods
Jochen Hartmann, Juliana Huppertz, Christina Schamp, Mark Heitmann
| Year of publication: |
2019
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|---|---|
| Authors: | Hartmann, Jochen ; Huppertz, Juliana ; Schamp, Christina ; Heitmann, Mark |
| Published in: |
International journal of research in marketing : IJRM ; official journal of the European Marketing Academy. - Amsterdam : Elsevier, ISSN 0167-8116, ZDB-ID 622691-7. - Vol. 36.2019, 1, p. 20-38
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| Subject: | Text classification | Social media | Machine learning | User-generated content | Sentiment analysis | Natural language processing | Social Web | Social web | Künstliche Intelligenz | Artificial intelligence | Klassifikation | Classification | Text | Data Mining | Data mining | Web 2.0-Technologien | Web 2.0 technologies | Automatisierung | Automation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijresmar.2018.09.009 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012016489