{"title":"Tagging online service reviews","authors":"Suke Li, Jinmei Hao, Zhong Chen","doi":"10.1109/NLPKE.2010.5587816","DOIUrl":null,"url":null,"abstract":"This paper proposes a tagging method that can highlight important service aspects for users who browse online service reviews. Experiments on service aspect ranking and review tagging show that the proposed method is effective for finding important aspects and can generate useful and interesting tags for reviews.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NLPKE.2010.5587816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes a tagging method that can highlight important service aspects for users who browse online service reviews. Experiments on service aspect ranking and review tagging show that the proposed method is effective for finding important aspects and can generate useful and interesting tags for reviews.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
标记在线服务评论
本文提出了一种标记方法,可以为浏览在线服务评论的用户突出重要的服务方面。服务方面排序和评论标记实验表明,该方法能够有效地找到重要方面,并能生成有用和有趣的评论标签。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Dashboard: An integration and testing platform based on backboard architecture for NLP applications Chinese semantic role labeling based on semantic knowledge Transitivity in semantic relation learning Wisdom media “CAIWA Channel” based on natural language interface agent A new cascade algorithm based on CRFs for recognizing Chinese verb-object collocation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1