2009 International Conference on Advances in Social Network Analysis and Mining (2009)
July 20, 2009 to July 22, 2009
The tradeoff between revenue and market share triggers the emergence of targeted advertising. However, all previous related work only focuses on the topical relevance of ads and does not concern the attitudes of consumers. In our paper, we propose a novel advertising strategy DASA (Dissatisfaction-oriented Advertising based on Sentiment Analysis) which takes the attitudes of consumers into consideration and promotes ads according to what consumers are unsatisfied with. Our work is most suitable for User Generated Content which contains plenty of consumers’ opinionated information. The experiments show encouraging results.
online advertising, sentiment analysis, user generated content
F. Zhang, C. Chen, G. Qiu and J. Bu, "Intelligent Advertising for User Generated Content through Sentiment Analysis," 2009 International Conference on Advances in Social Network Analysis and Mining(ASONAM), Athens, Greece, 2009, pp. 330-333.