A visualization platform development for product review mining
XI Ya-hui · Journal of Hebei University · 2012
Up to now,researchers have proposed a variety of mining methods for Chinese reviews.However,there are not any unified review experimental data sets now.For this situation,the paper extracts reviews about mobiles from four famous websites randomly.After spam reviews removing and artificial marking,an experimental data set in the field of mobiles for product reviews mining is constructed.Later,we build an emotional lexicon based on the experimental data set and a feature-granularity tree by the pattern matching method.Then a visualization platform is developed.Researchers can not only use it to perform their experiments directly,but do some objective comparisons of different mining methods.