Frances: A Deep Learning NLP and Text Mining Digital Platform for Analysis of Historical Texts at Scale

Activity: Talk or presentation types › Invited talk

Description

frances is an advanced cloud-based text mining digital platform that leverages information extraction, knowledge graphs, natural language processing (NLP), deep learning, and parallel processing techniques. It has been specifically designed to unlock the full potential of historical digital textual collections, such as those from the National Library of Scotland, offering cloud-based capabilities and extended support for complex NLP analyses and data visualizations. frances enables realtime recurrent operational text mining and provides robust capabilities for temporal analysis, accompanied by automatic visualizations for easy result inspection. In this talk, I will present the motivation behind the development of frances, emphasizing its innovative design and novel implementation aspects, along with two comprehensive case studies in history and publishing history.
Period25 Jul 2023
Held atUNIVERSITY OF CAMBRIDGE, United Kingdom
Degree of RecognitionNational

Keywords

  • digital humanities
  • NLP
  • historical digital textual collections
  • Deep Learning
  • Ontologies
  • Knowledge Graph
  • Cloud-based framework
  • Parallel Text Mining

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