Typicality-based big comment data mining method

The invention discloses a typicality-based big comment data mining method. The method comprises the steps of conducting comment typicality mining modeling, and conducting modeling and formalized definition on comment typicality calculation and the minimum representative comment set mining problem; (2) automatically constructing a typicality comment prototype; (3) conducting minimum comment set mining, and adopting the minimum comment set mining algorithm for screening out one minimum comment set; (4) adopting the BigSimSet parallel computing method, and calling computing nodes in a distributed cluster for processing a similarity comment detection task in a parallel mode. According to the typicality-based big comment data mining method, on the two viewpoints of the cognitive psychology and the viewpoint mining, the user comment typicality balance method is studied, and the minimum comment set with the representativeness is mined on the basis of the method, so that a potential commodity client is helped to know a certain commodity more comprehensively at multiple angles, the user is helped to screen out the needed commodity more accurately, and the user purchase experience is improved.