The Stor-e-Motion Visualization for Topic Evolution Tracking in Social Media Streams
نویسندگان
چکیده
Nowadays, there are plenty of sources generating massive amounts of text streams in a continuous way. For example, the increasing popularity and the active use of social networks results in voluminous and fast-flowing data streams containing a large amount of user-generated data about almost any topic around the world. However, the observation and tracking of the ongoing evolution of topics in these unevenly distributed text streams is a challenging task for analysts, news reporters, or other users. This paper presents “Stor-e-Motion”, a real-time visualization to track and explore the ongoing evolution of topics’ frequency (i.e., importance), sentiment (i.e., emotion), and context (i.e., story) in user-defined topics over continuous flowing text streams.
منابع مشابه
The Stor-e-Motion Visualization for Topic Evolution Tracking in Text Data Streams
Nowadays, there are plenty of sources generating massive amounts of text data streams in a continuous way. For example, the increasing popularity and the active use of social networks result in voluminous and fastflowing text data streams containing a large amount of user-generated data about almost any topic around the world. However, the observation and tracking of the ongoing evolution of to...
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