Fine-grained mining of hotel online reviews are of great importance. Specific feature and emotional attributes of hotel online reviews can be taken as research targets

using Apriori algorithm and semantic lexicon matching algorithm

online reviews data of Chongqing Wu Du Hotel are mined

ten features that most users concerned and satisfaction results of the hotel can be inferred and five features of the hotel that five different kinds of travellers such as bussiness man most concerned together with corresponding degree of satisfaction results can also be mined in further exploration. This method can be applied in other fields.