Service: MapIntel - Interactive Visual Analysis Platform for Competitive Intelligence

In this project we propose a neural network-based document clustering system, which is a genuine contentaddressable memory system, meaning it clusters and stores text documents so they can be retrieved based on their content. Using Self-Organizing Maps (SOM’s), documents are mapped as points on a semantic map, in a topological order that describes the similarity of their contents. This map is then used as a metaphor to interact with the text corpus, creating an interactive visual analytics tool, allowing for its exploration through different, but correlated views and iteratively selecting and examining document