A product features mining method based on association rules and the degree of property co-occurrence

With the rapid development of e-commerce, excavating network consumer reviews is more and more important nowadays. This paper proposes a product features mining method based on association rules and the degree of property co-occurrence. Excavating candidate features by Apriori algorithm first, then pruning the candidate features by the degree of property co-occurrence between specifiers and product features, finally excavating Non-frequent features through opinion words to supplement Apriori algorithm. Experimental results prove that the method is effective.