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.| File | Dimensione | Formato | |
|---|---|---|---|
|
Interactive Classification System - readme.pdf
accesso aperto
Tipologia:
Altro materiale allegato
Licenza:
Altro tipo di licenza
Dimensione
80.98 kB
Formato
Adobe PDF
|
80.98 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


