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The interactive classification system

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Machine Learning; Text classification; Online learning; Active learning
List of contributors:
Esuli, Andrea
Authors of the University:
ESULI ANDREA
Handle:
https://iris.cnr.it/handle/20.500.14243/463443
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/463443/154219/prod_486033-doc_201539.pdf
Published in:
ERCIM NEWS
Journal
  • Overview

Overview

URL

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