Research on Web negative information mining based on event ontology
Wei Juan Jiang · Journal of Shandong University · 2012
In order to mine the negative information on the internet,the event-based semantic analysis technology was applied.The methods of event ontology-based Web negative information mining,especially event ontology construction and text feature reconstitution were studied.Information clustering was used as an example to validate the methods proposed.A prototype system based on event ontology was implemented.Experimental results showed that the average accuracy obtained by the event ontology-based and k-means method was 72.1%,which increased by 5.3% compared with the traditional k-means clustering method.