The Interactive Classification System (ICS), is a web-based application that supports the activity of manual text classification, i.e., labeling documents according to their content. The system is designed to give total freedom of action to its users: they can at any time modify any classification schema and any label assignment, possibly reusing any relevant information from previous activities. The application uses machine learning to actively support its users with classification suggestions The machine learning component of the system is an unobtrusive observer of the users' activities, never interrupting them, constantly adapting and updating its models in response to their actions, and always available to perform automatic classifications.

Interactive Classification System

Esuli A.
2022

Abstract

The Interactive Classification System (ICS), is a web-based application that supports the activity of manual text classification, i.e., labeling documents according to their content. The system is designed to give total freedom of action to its users: they can at any time modify any classification schema and any label assignment, possibly reusing any relevant information from previous activities. The application uses machine learning to actively support its users with classification suggestions The machine learning component of the system is an unobtrusive observer of the users' activities, never interrupting them, constantly adapting and updating its models in response to their actions, and always available to perform automatic classifications.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Text classification
Machine Learning
Active learning
User interface
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/536706
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