Abstract：francesA Deep Learning NLP and Text Mining Web Tool to Unlock Historical Digital CollectionsA Case Study on the Encyclopaedia Britannica This work presents francesan integrated text mining tool that combines information extractionknowledge graphsNLPdeep learningparallel processing and Semantic Web techniques to unlock the full value of historical digital textual collectionsoffe Library AutomationBy using the frances toolthe value of historical digital text collectionssuch as the Encyclopedia Britannica provided by the National Library of Scotlandis maximizedRetrieval and IndexingThe tool can extract termsand their metadatafrom the original collection and populate new knowledge graphs with this informationUsing the information stored in the knowledge graphsfrancesNLP models extend its analytical capabilities far beyond simple searchThis article introducesfrancesan integrated text mining tool that combines information extractionknowledge graphsnatural language processingNLPdeep learningparallel processingand semantic web technologiesThis tool aims to maximize the value of historical digital text collectionsallowing researchers to use powerful analytical methods without being hindered by technical and middleware detailsTo demonstrate these functionsthey used the first eight editions of the Encyclopedia Britannica provided by the National Library of Scotland as a demonstration digital collection for mining and analysis