frances: a deep learning NLP and text mining web tool to unlock historical digital collections : a case study on the Encyclopaedia Britannica
| Autor: | Rosa Filgueira |
|---|---|
| Přispěvatelé: | University of St Andrews. School of Computer Science |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Parallel computing
MCC QA75 Metadata Information extraction Text mining Natural language processing QA75 Electronic computers. Computer science Web tools T-NDAS Deep learning NIS Knowlege graph Transfer learning Computer Science Applications Artificial Intelligence Information retrieval Digital tools Digital textual collections Semantic web Knowledge engineering Z665 Library Science. Information Science Information Systems Z665 |
| Popis: | Funding: This work was supported by the NLS Digital Fellowship and by the Google Cloud Platform research credit program. This work presents frances, an integrated text mining tool that combines information extraction, knowledge graphs, NLP, deep learning, parallel processing and Semantic Web techniques to unlock the full value of historical digital textual collections, offering new capabilities for researchers to use powerful analysis methods without being distracted by the technology and middleware details. To demonstrate these capabilities, we use the first eight editions of the Encyclopaedia Britannica offered by the National Library of Scotland (NLS) as an example digital collection to mine and analyse. We have developed novel parallel heuristics to extract terms from the original collection (alongside metadata), which provides a mix of unstructured and semi-structured input data, and populated a new knowledge graph with this information. Our Natural Language Processing models enable frances to perform advanced analyses that go significantly beyond simple search using the information stored in the knowledge graph. Furthermore, frances also allows for creating and running complex text mining analyses at scale. Our results show that the novel computational techniques developed within frances provide a vehicle for researchers to formalize and connect findings and insights derived from the analysis of large-scale digital corpora such as the Encyclopaedia Britannica. Postprint |
| Databáze: | OpenAIRE |
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