Product Feature Extracting Method in Opining Mining
Chang Hong-yao · Microprocessors · 2010
Product feature hierarchy learning is one of important parts in opinion mining area.In order to promote the assurance of product feature hierarchy learning,this paper gives an algorithm which can learn from regular and irregular opining text corpus.It can learn from regular corpus containing technical word and irregular corpus classed according to the subject at the same time.Then using the text feature discriminating technology to get rid of the irrespective word,and using relation entropy、 syntax structure method to get hierarchy from corpus.The experiment shows this algorithm can get a better result.