Establishment and application of consumption sentiment ontology library based on three-dimensional coordinate

Abstract

Since the positive comments may have the non-truly satisfied comments, a method which can truly reflect the sentiment of the consumers was constructed in order to decrease the non-truly satisfied comments from the positive comments.The research oriented to the consumption sentiment shows that the consumption sentiment vocabulary should be extracted at first. According to the consumption sentimental features, consumption sentiment got classified into seven classes and twentyfive subclasses, and the three-dimensional coordinate model was established. Afterwards, Protege was used to build a consumption sentiment ontology library so that the consumption sentiment can be automatically classified by the threedimensional coordinate vocabulary classification algorithm. Moreover, the consumption sentiment judging algorithm was applied to automatically judge consumer comments based on the completed library. Finally, compared with the positive comment ratio of Taobao, the F-measure can reach more than 95%. It can eliminate the non-truly satisfied comments from positive comments and reflect the consumer's real emotion.