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Xtralingua: An open-source tool for extracting quantitative text profiles
- Author(s):
- Fotios Fitsilis (see profile) , Sotiris Leventis, George Mikros, Panagiotis Papantonakis
- Date:
- 2020
- Group(s):
- DH2020
- Subject(s):
- Computational linguistics, Digital humanities, Natural language processing (Computer science), Science, Open access publishing, Text data mining
- Item Type:
- Other
- Tag(s):
- Google Summer of Code, Hellenic OCR Team, quantitative text analysis, text profiles, Natural language processing, Open science, Text analytics
- Permanent URL:
- http://dx.doi.org/10.17613/ge14-7a04
- Abstract:
- The Xtralingua project aims at developing a tool for extracting quantitative text profiles from large collections of texts. Existing solutions and tools are hard to use and require high technical knowledge, often absent in researchers of Digital Humanities. We developed an open-source working prototype that can also be used in combination with other tools to create an automated pipeline of text analysis.
- Notes:
- The poster for the virtual session at DH2020 has a link/QR code to GitHub, which contains the installer and the code to Xtralingua. A help desk email account is also attached.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 3 years ago
- License:
- Attribution-NonCommercial-ShareAlike
- Share this:
Open access, open source, open to all
xtralingua_dh2020v.pdf