DocumentCode :
119508
Title :
Extracting and visualizing insights from real-time conversations around public presentations
Author :
Belmonte, Nicolas Garcia
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
225
Lastpage :
226
Abstract :
During public addresses and debates (like the State of the Union Address) people engage in social networks generating thousands of messages. After the event happened, however, it is difficult to gather past conversations from those platforms and link them to the speech to relive the moment. To address this we developed a visualization technique that leverages the real-time conversational aspect of the Twitter platform to enrich the text of a public presentation with the discussion on Twitter during that speech; creating an annotated visual narrative of an event that can be replayed as the user scans the text of the speech.
Keywords :
data visualisation; natural language processing; social networking (online); text analysis; State of the Union Address; Twitter platform; annotated visual narrative; insight extraction; insight visualization; public address; public debate; public presentation; real-time conversational aspect; social network; speech text; text enrichment; visualization technique; Data visualization; Real-time systems; Speech; Standards; Twitter; Visualization; Text mining; Tweet; Twitter; real-time; streamgraph;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/VAST.2014.7042502
Filename :
7042502
Link To Document :
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