期刊名称：Romanian Conference on Human-Computer Interaction
印刷版ISSN：2344-1690
出版年度：2016
卷号：RoCHI 2016
页码：103-106
语种：English
出版社：Matrix ROM
摘要：Twitter is among the fastest-growing online social networking services, with more than 140 million users producing over 400 million tweets per day. It enables users to post status updates (tweets) about a huge variety of topics to a network of followers using various communication services such as cell phones, e-mails, Web interfaces, or other third-party applications. Monitoring and analyzing this rich and continuous user-generated content can lead to obtaining valuable information about local and global news and events, because virtually, any person witnessing or involved in any event is nowadays able to disseminate real time information, which can reach the other side of the world as the event unfolds. Having a rich data set, we are going to show how to process the tweets in order to obtain valuable information in real time, based on user preferences and different search criteria.
