"id";"title";"slug";"url";"type";"description";"remote_url";"organization";"organization_id";"image";"featured";"created_at";"last_modified";"tags";"datasets";"metric.discussions";"metric.datasets";"metric.followers";"metric.views" "5c83ed6f4384b033a0383399";"Search Engine, Named Entity Recognition and Recommender System on the Historical Newspaper data of the BNL";"search-engine-named-entity-recognition-and-recommender-system-on-the-historical-newspaper-data-of-the-bnl";"https://data.public.lu/fr/reuses/search-engine-named-entity-recognition-and-recommender-system-on-the-historical-newspaper-data-of-the-bnl/";"application";"This repository contains Python and R scripts for applying NLP to the XML Dublin Core files that can be downloaded from https://data.bnl.lu/data/historical-newspapers/ The scripts add new features to the data, perform Named Entitity Recognition and also recommend new articles based on cosine similarity of article content. Everything is then deployed into an ELK suite hosted on the cloud. You can find the app here: http://40.118.5.72:5601/app/kibana#/discover?_g=() The app is an advanced search engine that allows historians to look for keywords and perform basic data analysis on Kibana (visualisations). There are 2 databases; the full one with around half a million articles on which we did not perform cosine similarity for article recommendation, and then a smaller database (around 50.000) on which 3 articles at most get recommended to the user. We had to limit the computation of cosine similarity because of time constraints.";"https://github.com/syppik/GameOfCode";"game_of_code_2019_saperlipopette_team";"5c83ec514384b033a0383397";"";False;"2019-03-09T17:44:31.459000";"2024-03-18T00:50:08.648000";"bnl,game-of-code-hackathon,nlp";"5bab43c860beb277d3ce9986";0;1;2;9 "5c83eb7a0f7fb034431c384b";"LibQuery";"libquery";"https://data.public.lu/fr/reuses/libquery/";"application";"LibQuery propose d'explorer les articles de journaux anciens mis à disposition par la BnL en cherchant les lieux mentionnés dans ceux-ci et en les affichant sur une carte. Les articles sont tous liés à la guerre et à la politique. Ils sont consultables via une recherche par lieu, période de dates et langue. Il est également possible de chercher des auteurs correspondants à cette période de date et afficher leur biographie. ";"https://github.com/AnthoOnf/LibQuery";"";"";"";False;"2019-03-09T17:36:10.780000";"2024-03-18T00:50:08.615000";"articles,carte,guerre,journaux,nlp,politique";"5bab43c860beb277d3ce9986";0;1;1;6