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 miningdigital 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 presentation, I will cover the motivation
behind the development of frances, emphasizing its innovative design and novel implementation aspects. I will also present two comprehensive case studies in history and publishing history done using frances.
Period25 Jul 2023
Held atUNIVERSITY OF CAMBRIDGE, United Kingdom
Degree of RecognitionNational

Keywords

  • NLP
  • DIGITAL HUMANITIES
  • Knowledge Graph
  • historical digital textual collections
  • Cloud-based framework
  • Parallel Text Mining
  • Apache Spark
  • Deep Learning Transformers

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