Predicting crowdfunding success with visuals and speech in video ads and text ads
Year of publication: |
2022
|
---|---|
Authors: | Al-Qershi, Osamah M. ; Kwon, Junbum ; Zhao, Shuning ; Li, Zhaokun |
Published in: |
European journal of marketing. - Bradford : Emerald, ISSN 1758-7123, ZDB-ID 2002936-6. - Vol. 56.2022, 6, p. 1610-1649
|
Subject: | Computerized video content analysis | Crowdfunding success prediction | Ensemble learning | Multimodal analysis | Predictive model | Video ad | Video ad content | Prognoseverfahren | Forecasting model | Crowdfunding | Online-Marketing | Internet marketing |
-
Stewart, Kristin, (2024)
-
Are social media influencers effective? : an analysis of information adoption by followers
Roldan-Gallego, Juan Sebastián, (2023)
-
Google searches and twitter mood: nowcasting telecom sales performance
Bughin, Jacques, (2015)
- More ...
-
The impact of social media visual features on acceptance of meat substitute
Septianto, Felix, (2022)
-
Kwon, Junbum, (2022)
-
Love or like : gender effects in emotional expression in online reviews
Abdul-Ghani, Eathar, (2022)
- More ...