Enhancing Event Descriptions through Twitter Mining
نویسندگان
چکیده
We describe a simple IR approach for linking news about events, detected by an event extraction system, to messages from Twitter (tweets). In particular, we explore several methods for creating event-specific queries for Twitter and provide a quantitative and qualitative evaluation of the relevance and usefulness of the information obtained from the tweets. We showed that methods based on utilization of word co-occurrence clustering, domain-specific keywords and named entity recognition improve the performance with respect to a
منابع مشابه
Unsupervised and supervised learning to evaluate event relatedness based on content mining from social-media streams
0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.05.068 ⇑ Tel.: +886 7 3814526. E-mail address: [email protected] Due to the explosive growth of social-media applications, enhancing event-awareness by social mining has become extremely important. The contents of microblogs preserve valuable information associated with past disastrous events and ...
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تاریخ انتشار 2012