Forecasting election results by studying brand importance in online news
Year of publication: |
2020
|
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Authors: | Colladon, Andrea Fronzetti |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 36.2020, 2, p. 414-427
|
Subject: | Election forecasting | Semantic brand score | Social network analysis | Text mining | Online news | Big data | Prognoseverfahren | Forecasting model | Data Mining | Data mining | Markenführung | Brand management | Wahlverhalten | Voting behaviour | Text | Wahl | Election | Elektronische Publikation | Electronic publishing | Social Web | Social web |
Description of contents: | Description [doi.org] |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Erratum enthalten in: International journal of forecasting, Volume 37, issue 3 (July/September 2021), Seite 1327-1328 |
Other identifiers: | 10.1016/j.ijforecast.2019.05.013 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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