文章基本信息

标题：Query Keyword Extraction from Complaint Data for Collecting Advice
本地全文：下载
作者：Liang Yang ; Daisuke Kitayama ; Kazutoshi Sumiya 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2239
页码：347-351
出版社：Newswood and International Association of Engineers
摘要：Nowadays, there are a large number of users who post complaints about a certain service on the Internet. Because users have various values and views, even if they receive the same service, they may complain in different ways. However, it is quite difficult to respond to various user demands for service in real time and there are almost no direct solutions when users feel dissatisfied with a certain service. Therefore, in this paper, we propose a method that generates query keywords according to various user complaints about a certain service for collecting advice. To generate query keywords, we extract the company names, complaint topic words and advice topic words from complaint data. Then suitable web pages containing advice are recommended from the results of the query. This advice could address users’ dissatisfaction and respond to their different demands in a comprehensive way.
关键词：query extraction; complaints; advice;