Case Study: BIG TEXT. BIG RESULTS. Data Viz Platform for Drupal.

We have worked with United Nations to build and analyse a large number of Unstructured Documents (such as PDF, WORD, XML, Web Pages) which are on multiple consultations across multiple countries and regions. 

For almost one year, the United Nations Development Group (UNDG) collected the perspectives on the 'World We Want' from over one million people around the globe, enabled by national level consultations, thematic dialogues and surveys in order to help member states shape a successor framework to the Millennium Development Goals (MDGs) beyond 2015.

The next step was to visualize and discover the output, mostly unstructured, generated by these 'million voices', most of which made available in a Drupal platform.

In the session, we will discuss how Azri deployed a decoupled solution to make sense of unstructured data across multiple data sources, implementing various NLP techniques ranging from word sense disambiguation to leveraging text processing libraries for classification and semantic reasoning, thereby enabling the use of all available unstructured data in a structured fashion.