ISCAS OpenIR  > 2009年期刊/会议论文
juicer: scalable extraction for thread meta-information of web forum
Guo Yan; Wang Yu; Ding Guodong; Cao Donglin; Zhang Gang; Lv Yi
2009
会议名称Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2009
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码143-148
会议日期April 27,
会议地点Bangkok, Thailand
收录类别ei,acm
出版地Germany
ISSN3029743
ISBN9783642013928
部门归属(1) Institute of Computing Technology, Chinese Academy of Sciences, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China
摘要In Web forum, thread meta-information contained in list-ofthread of board page provide fundamental data for the further forum mining. This paper describes a complete system named Juicer which was developed as a subsystem for an industrial application that involves forum mining. The task of Juicer is to extract thread meta-information from board pages of a great many of large scale online Web forums, which implies that scalable extraction is required with high accuracy and speed, and minimal user effort for maintenance. Among so many existed approaches about information extraction, we can not find any approach to fully satisfy the requirements, so we present simple scalable extraction approach behind Juicer to achieve the goal. Juicer is constituted by four modules: Template generation, Specifying labeling setting, Automatic extraction, Label assignment. Both experiments and practice show that Juicer successfully satisfied the requirements.
关键词Mining
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/8478
专题2009年期刊/会议论文
推荐引用方式
GB/T 7714
Guo Yan,Wang Yu,Ding Guodong,et al. juicer: scalable extraction for thread meta-information of web forum[C]. Germany,2009:143-148.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Guo Yan]的文章
[Wang Yu]的文章
[Ding Guodong]的文章
百度学术
百度学术中相似的文章
[Guo Yan]的文章
[Wang Yu]的文章
[Ding Guodong]的文章
必应学术
必应学术中相似的文章
[Guo Yan]的文章
[Wang Yu]的文章
[Ding Guodong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。