| Consesus Analysis has become a hot topic in recent years due to a string of high-profile public affairs and scandals. Both the government and public sectors need consesus analysis to analyze public opinions in order to better fulfill their commitments to the society.Antagonistic mind(逆反心理)analysis is an important part of consesus analysis. Based on a collection of15pre-defined criterias of antagonistic mind, we propose in the paper a consesus collection and analysis system. Armed with a multi-label Bayes classifier, this prototype system is capable of collecting consesus from comments made on the news.netease.com and analyzing the antagonistic mind from them, in order to provide support for the decision-makers. This paper provides details of the design and implementation of this system.Preliminary experimental results show that this prototype system can fulfill its task in consesus analysis. |
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