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.

The interactive classification system

Esuli A
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.
2023
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
132
34
35
https://ercim-news.ercim.eu/en132/r-i/the-interactive-classification-system
No
Machine Learning
Text classification
Online learning
Active learning
1
info:eu-repo/semantics/article
262
Esuli A.
01 Contributo su Rivista::01.01 Articolo in rivista
open
   SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics
   SoBigData-PlusPlus
   H2020
   871042

   A European Excellence Centre for Media, Society and Democracy
   AI4Media
   H2020
   951911
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/463443
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