Predicting the influence of users' posted information for eWOM advertising in social networks
Year of publication: |
2014
|
---|---|
Authors: | Chen, Yen-liang ; Tang, Kwei ; Wu, Chia-Chi ; Jheng, Ru-Yun |
Published in: |
Electronic commerce research and applications. - Amsterdam [u.a.] : Elsevier, ISSN 1567-4223, ZDB-ID 2539019-3. - Vol. 13.2014, 6, p. 431-439
|
Subject: | Social network | Electronic word-of-mouth (eWOM) | Influence | Data mining | Sentiment analysis | Social Web | Social web | Soziales Netzwerk | Virales Marketing | Viral marketing | Data Mining | Konsumentenverhalten | Consumer behaviour | Online-Marketing | Internet marketing |
-
User response to e-WOM in social networks : how to predict a content influence in Twitter
Dahka, Zohreh Yousefi, (2020)
-
A novel approach to rate and summarize online reviews according to user-specified aspects
Hu, Hsiao-Wei, (2016)
-
Unfolding the characteristics of incentivized online reviews
Costa, Ana, (2019)
- More ...
-
Cost-Sensitive Decision Tree with Multiple Resource Constraints
WU, Chia-Chi, (2010)
-
Cost-sensitive decision tree with multiple resource constraints
Wu, Chia-chi, (2010)
-
On electronic word-of-mouth diffusion in social networks : curiosity and influence
Fang, Yu-Hui, (2018)
- More ...