Classification algorithms for searching and categorizing questions.

Main functions
  • Text search by semantic similarity.
  • Text tagging based on trainable categories.

Python algorithms that aim to consolidate the natural language processing tools used by Argentina’s National Directorate of Public Data and Information.  

This tool was developed by the Argentine Ministry of Modernization’s National Directorate of Public Data and Information. 

This tool’s development arose from a need to assist the Chief of the Cabinet of Minister’s Secretariat of Parliamentary Relations and Administration in creating reports.  

Therefore the National Directorate of Public Data and Information’s team created these algorithms, which assist in the search and categorization of the questions that make up the secretariat’s reports upon integration into an interface. 

Governments in other countries can repurpose or adapt this tool to improve the flow of the management of questions and answers received by various offices, as well as to improve communication with civil society. 

You can see the source code here:


Knowledge areas
Science and Technology
Reform / modernization of the state
Contribution of
Ministry of Modernization