Application of text mining techniques to the analysis of discourse in eWOM communications from a gender perspective
E. Teso, M. Olmedilla, M.R. Martínez-Torres, S.L. Toral
| Year of publication: |
April 2018
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|---|---|
| Authors: | Teso, E. ; Olmedilla, M. ; Martínez-Torres, María del Rocío ; Toral, S. L. |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 129.2018, p. 131-142
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| Subject: | Electronic word-of-mouth | eWOM | User-generated content | Discourse analysis | Sentiment analysis | Content analysis | Data Mining | Data mining | Virales Marketing | Viral marketing | Diskurstheorie | Discourse theory | Text | Bibliometrie | Bibliometrics | Geschlecht | Gender |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2017.12.018 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011958041