Visual Text Analytics
Presenters: Axel J. Soto, Dalhousie University, Canada ; Evangelos E. Milios, Dalhousie University, Canada
Tutorial Website: https://sites.google.com/site/visualtextanalyticssdm2015/
Text mining methods have been extensively used in the last 30 years. However, in scenarios where the path from data to decisions is unclear, or where different users may be interested in different solutions, the involvement of the user or analyst in the text mining process becomes crucial. Visual Text Analytics aims at addressing these problems by incorporating concepts from Visual Analytics to text mining and natural language processing techniques.
In this tutorial we will introduce Visual Text Analytics as a multi-disciplinary field of research. We will cover conceptual and practical tools, review state-of-the-art systems as well as identify interesting research avenues in the area. The course will be of benefit to any participant interested in improving the impact of their text mining methods.