Information of product review mining based on analyzing of part of speech
Hao Ming Peng · Jisuanji gongcheng yu sheji · 2013
Based on analysis of part of speech of word which can express the character of product and the corresponding review in corpus,the most frequent part of speech and the corresponding order of importance is determinted,a new information extraction rules of the character of product and the corresponding review is proposed,and the formula of computering of semantic of sentence is established according to the rules.Experiment show that this method have a high accuracy in extracting of the character of product and computing of semantic orientation of the corresponding of review.It will provide a huge value of new product's development and product recommendation in enterprise and as a important theoretical for the next step of product decision.