Date: July 27th, 2015
Location: New Building of Facultad de Ciencias Económicas [map]
Historically, text mining methods have enriched substantially from both statistical learning and symbolic AI. Different approaches have been extensively applied during the last 30 years to extract “knowledge” from text. 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.