Unsupervised event exploration from social text streams
نویسندگان
چکیده
منابع مشابه
Unsupervised Instance Selection from Text Streams
Instance selection techniques have received great attention in the literature, since they are very useful to identify a subset of instances (textual documents) that adequately represents the knowledge embedded in the entire text database. Most of the instance selection techniques are supervised, i.e., requires a labeled data set to define, with the help of classifiers, the separation boundaries...
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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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ژورنال
عنوان ژورنال: Intelligent Data Analysis
سال: 2017
ISSN: 1088-467X,1571-4128
DOI: 10.3233/ida-160048