基于观点挖掘的产品特征提取

摘要

To explore products feature can help the manufacturers and service providers to make targeted improvement on products’ performance and to guide users to comprehensively understand every function of the products.Through analysing the product information and comment information,we build a three-layer mining model to achieve opinion mining-based products feature extraction,and the layer 3 mining model innovatively uses the method of combining the association rules with the dependence analysis.Using Web crawler technology,we gain the experimental data from Internet.Experimental results prove the effectiveness of the model and the method.%探索产品特征，以帮助生产商和服务商有针对性地改进产品性能和指导用户对产品的各个性能有比较全面的了解。通过分析产品信息和评论信息，搭建3层挖掘模型实现基于观点挖掘的产品特征提取，第3层挖掘模型创新性地使用关联规则和依存分析相结合的方法。采用网络爬虫技术从互联网获取实验数据，实验结果证明该模型和该方法的有效性。