HAL - classification of documents

The Ministry of Foreign Affairs (MFA) use ML and NLP to analyse and classify reports from embassies and delegations. Every year, the Ministry of Foreign Affairs (MFA) receives up to 6,000 reports from Norwegian embassies, delegations, etc. Previously it was extremely difficult to navigate all this information. Since the MFA adopted machine learning and NLP to analyse and classify the content of these documents, it has been possible to find almost all relevant information on a given subject matter. The solution is also used to extract key information in reports and prepare summaries. In the work on developing this solution, the MFA cooperated with the University of Oslo, which provided solutions for categorising the Norwegian language. The plan is to gradually expand the solution with information from archives and external research reports.