Event detection, tracking, and visualization in Twitter: a mention-anomaly-based approach
نویسندگان
چکیده
منابع مشابه
Event Detection in Twitter
Twitter, as a form of social media, is fast emerging in recent years. Users are using Twitter to report real-life events. This paper focuses on detecting those events by analyzing the text stream in Twitter. Although event detection has long been a research topic, the characteristics of Twitter make it a non-trivial task. Tweets reporting such events are usually overwhelmed by high flood of mea...
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BACKGROUND Every day, around 400 million tweets are sent worldwide, which has become a rich source for detecting, monitoring and analysing news stories and special (disaster) events. Existing research within this field follows key words attributed to an event, monitoring temporal changes in word usage. However, this method requires prior knowledge of the event in order to know which words to fo...
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The main goal of this paper is to create a novel experimental system for the Czech News Agency (ČTK) which is able to monitor the current dataflow on Twitter, analyze it and extract relevant events. The detected events are then presented to users in an acceptable form. A novel event detection approach adapted to the Czech Twitter is thus proposed. It uses user-lists to discover potentially inte...
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ژورنال
عنوان ژورنال: Social Network Analysis and Mining
سال: 2015
ISSN: 1869-5450,1869-5469
DOI: 10.1007/s13278-015-0258-0