Aspect-based opinion mining and recommendationsystem for restaurant reviews

Aspect-based opinion mining and recommendationsystem for restaurant reviews
复制标题

基于方面的餐厅评论意见挖掘与推荐系统

DOI：
10.1145/2645710.2645716
复制
发表时间：
2014
期刊：
--
影响因子：
--
通讯作者：
Magdalini Eirinaki
Magdalini Eirinaki
中科院分区：
--
文献类型：
--
作者：
V. Suresh;Syeda Roohi;Magdalini Eirinaki

文献摘要

被引文献

相似文献

电子商务中产品/服务的成功很大程度上取决于用户评论。具有较高平均评论或评级的产品/服务通常会与具有较低好评的类似产品/服务进行比较。评论通常有一个总体评级，但大多数时候，评论主体中有描述产品某些功能/方面的子文本。这个演示展示了一个系统，它从评论中提取特定于方面的评级，并根据用户和其他用户的评级模式向用户推荐评论。
The success of a product/service in e-commerce largely depends on the user reviews. A product/service that has a higher average review or rating usually gets picked against a similar product/service with less favorable reviews. Reviews usually have an overall rating, but most of the times there are sub-texts in the review body that describe certain features/aspects of the product. This demonstration presents a system that extracts aspect-specific ratings from reviews and also recommends reviews to users based on their and other users' rating patterns.