In the digital humanities, there is a constant need to turn images and PDF files into plain text to apply analyses such as topic modelling, named entity recognition, and other techniques. However, although there exist different solutions to extract text embedded in PDF files or run OCR on images, they typically require additional training (for example, scholars have to learn how to use the command line) or are difficult to automate without programming skills.
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- Lessios-Damerow, Julia (Contributor)
- Peirson, Erick (Contributor)
- Laubichler, Manfred (Contributor)
- ASU-SFI Center for Biosocial Complex Systems (Contributor)
- 2017-09-28
- Digital object identifier: 10.5334/jors.164
- Identifier TypeInternational standard serial numberIdentifier Value2049-9647
- The final version of this article, as published in The Journal of Open Research, can be viewed online at: https://openresearchsoftware.metajnl.com/articles/10.5334/jors.164/, opens in a new window
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Damerow, J., Peirson, B. R., & Laubichler, M. D. (2017). The Giles Ecosystem – Storage, Text Extraction, and OCR of Documents. Journal of Open Research Software, 5. doi:10.5334/jors.164