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Publication . Conference object . 2020

NewsEye: A digital investigator for historical newspapers

Doucet, Antoine; Gasteiner, Martin; Granroth-Wilding, Mark; Kaiser, Max; Kaukonen, Minna; Labahn, Roger; Moreux, Jean-Philippe; +5 Authors
Open Access
English
Published: 20 Jul 2020
Publisher: Zenodo
Country: France
Abstract
This short paper introduces the NewsEye project.
Subjects by Vocabulary

ACM Computing Classification System: ComputingMilieux_MISCELLANEOUS

Subjects

[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Related Organizations

Further information [1] NewsEye project Website in 4 languages: https://www.newseye.eu/ [de] [en] [fi] [fr] [2] NewsEye demonstrator: https://platform.newseye.eu/ [3] NewsEye twitter account: https://twitter.com/NewsEyeEU [4] NewsEye project publications and data sets: https://zenodo.org/communities/newseye/ [5] NewsEye project software and source code: https://github.com/NewsEye/ [6] NewsEye podcasts: https://www.univie.ac.at/newseye/ [7] NewsEye videos: https://www.youtube.com/channel/UCwEqOk8JRfbJeBYVZkPctA/playlists

Funded by
EC| NewsEye
Project
NewsEye
NewsEye: A Digital Investigator for Historical Newspapers
  • Funder: European Commission (EC)
  • Project Code: 770299
  • Funding stream: H2020 | RIA
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