A blog about systems

Introduction The previous post was about using the software to get extract entities from unstructured text. What is more those entities were classified as persons, locations, organizations and others. However, as this software is still far from being perfect there are some miss-recognitions and miss-classifications that should be fixed manually....

Introduction Extracting a network from unstructured text is not an easy task because it implies reading several pages to identify persons,organizations, places, etc. that appear between these sentences and paragraphs with the goal of creating relationships between them. In this picture you can get an idea about how cumbersome a...