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The interactive classification system

Articolo
Data di Pubblicazione:
2023
Abstract:
ISTI-CNR released a new web application for the manual and automatic classification of documents. Human annotators collaboratively label documents with machine learning algorithms that learn from annotators' actions and support the activity with classification suggestions. The platform supports the early stages of document labelling, with the ability to change the classification scheme on the go and to reuse and adapt existing classifiers.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Machine Learning; Text classification; Online learning; Active learning
Elenco autori:
Esuli, Andrea
Autori di Ateneo:
ESULI ANDREA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/463443
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/463443/154219/prod_486033-doc_201539.pdf
Pubblicato in:
ERCIM NEWS
Journal
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URL

https://ercim-news.ercim.eu/en132/r-i/the-interactive-classification-system
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