文章基本信息

标题：Extraction of Context Information from Web Content Using Entity Linking
本地全文：下载
作者：Norifumi Hirata ; Shun Shiramatsu ; Tadachika Ozono 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2013
卷号：13
期号：2
页码：18-23
出版社：International Journal of Computer Science and Network Security
摘要：We developed a system for extracting context information from microblogs, such as Twitter, using entity linking. A feature of Twitter is real-time. Our proposed system uses news articles to generate entity links since tweets are posted in real-time. It is difficult to extract context information from Twitter because the maximum length of a tweet is 140 characters. Therefore, we use both news articles and microblogs for entity linking. Entity links contain context entities. When our system extracts regional context, it uses entity links about geographical regions. The experimental results suggest that our proposed system can extract context entities based on Twitter users and news articles.
关键词：Microblogs; News Articles; Context Information; Entity Linking