Parody Detection: An Annotation, Feature Construction, and Classification Approach to the Web of Parody-Reference-Cited by-同舟云学术

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Parody Detection: An Annotation, Feature Construction, and Classification Approach to the Web of Parody

Published:2017 Issue: Volume: Page:67-89
ISSN:
Container-title:Data Analytics in Digital Humanities
language:
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Author:

Weese Joshua L.,Hsu William H.,Murphy Jessica C.,Knight Kim Brillante

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-54499-1_3

Reference75 articles.

1. Kimono Labs, (2014). Retrieved from Kimono Labs: https://www.kimonolabs.com /

2. E. Alpaydin, Introduction to Machine Learning, 3rd edn. (MIT Press, Cambridge, 2014)

3. API Overview Guide, (2014). Retrieved from Google Developers: https://developers.google.com/youtube/

4. D.M. Blei, A.Y. Ng, Latent dirichlet allocation. J. Mach. Learn. Res. 2003(3), 993–1022 (2003)

5. S. Bloehdorn, A. Moschitti, Combined syntactic and semantic kernels for text classification. Adv. Inf. Retr. 4425, 307–318 (2007)

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1. Algorithmic Parody Protection in the European Union: CDSM Directive and DSA Regulation Perspective;Baltic Journal of Law & Politics;2023-09-01

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