Competitive Intelligence allows an organization to keep up with market trends and foresee business opportunities. This practice is mainly performed by analysts scanning for any piece of valuable information in a myriad of dispersed and unstructured sources. Here we present MapIntel, a system for acquiring intelligence from vast collections of text data by representing each document as a multidimensional vector that captures its own semantics. The system is designed to handle complex Natural Language queries and visual exploration of the corpus, potentially aiding overburdened analysts in finding meaningful insights to help decision-making.

MapIntel is a Visual Analytics system based on neural networks, which groups and stores text documents in a semantic map so that they can be retrieved based on their content.

Impact:

1. Enhance decision making support;
2. Provides visual analytics tools for faster and reliable decision making;
3. Allows exploration through different views and the interactive selection of documents.