摘要
酒店在线评论细粒度挖掘具有重要研究意义。以酒店在线评论具体特征属性和情感分类为研究目标,应用Apriori算法和情感词典匹配算法,对重庆雾都宾馆在线评论数据深入挖掘,挖掘出用户最关注的酒店十大特征和满意度结果,进一步挖掘出商务出差等五种不同出游类型人最关注的酒店五大特征和满意度结果。这种方法不仅能对酒店领域评论进行分析,同样能够应用于其他领域。
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.
出处
《传感器与微系统》
CSCD
2016年第12期41-43,47,共4页
Transducer and Microsystem Technologies
关键词
酒店在线评论
特征挖掘
情感分析
细粒度
情感词典匹配
hotel online reviews
feature mining
sentiment analysis
fine-grained
semantic lexicon matching
