Typicality-based big comment data mining method
A typical, big data technology, applied in the field of review big data mining based on typicality, can solve the problems of real-time analysis, summary, and unsatisfactory review analysis effect of review big data.
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[0080] Such as figure 1 As shown, the typical review big data mining method includes the following steps:
[0081] (1) Modeling of typicality mining of comments, modeling and formal definition of typicality calculation of comments and mining of minimum representative comment sets;
[0082] (2) Automatic construction of typical review prototypes, based on the "basic concept" theory and multi-prototype theory of cognitive psychology to design a typical calculation method for reviews, and use the category utility in the "basic concept" theory to guide the generation of review prototypes;
[0083] (3) Mining the minimum comment set, using the minimum comment set mining algorithm to screen out a minimum comment set, which has the following characteristics: each comment in the set is different and can represent the views of a considerable number of users, the minimum comment set All the comments in can cover and represent the opinions of all the comments of the product. Users only ...
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