Description
During my National Librarian's Research Fellowship I have explored new ways to unlock the full value of the National Library of Scotland's Data Foundry collections by building a new AI toolbox called 'frances' and a web user interface that allows researchers to interact with it.frances aims to help historians (and other users) for extracting complex knowledge from digital collections in a fast and transparent manner without having to be an expert data scientist. The toolbox is named after Frances Wright (September 6, 1795 – December 13, 1852), a Scottish-born lecturer, writer, feminist, abolitionist and social reformer.
'frances' includes a set of complex text-mining queries (ready to use), and run them automatically and at scale in the background. These queries emploies the best-in-class machine learning / natural language processing algorithms, such as topic mining, sentiment analysis or text summarisation, along with the most suitable visualisation graphs for those results. This talk will give an overview of 'frances' as well to highlight my future plans in the area.
| Period | 18 Jul 2022 |
|---|---|
| Held at | British Library, United Kingdom |
| Degree of Recognition | National |
Related content
-
Activities
-
Frances: A Deep Learning NLP and Text Mining Digital Platform for Analysis of Historical Texts at Scale
Activity: Talk or presentation types › Invited talk