Title :
Integrated visual analytics tool for heterogeneous text data
Author_Institution :
Hong Kong Applied Science and Technology Research Institute
Abstract :
Our self-developed java-based visual analytic tool reads a variety of different text data sources and extracts important keywords, relations and events from them using ontology and natural language processing methods. Finally it provides an integrated and interactive search interface to users to facilitate their effective and efficient investigation for the large and complex data set.
Keywords :
VAST 2014; mini challenge 1; natural language processing; ontology modeling; visual Analytics;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris, France
DOI :
10.1109/VAST.2014.7042548