The paper explores a new method to represent digital documents - containing several sources of information (text, images, videos, multimedia galleries) - in a semantic space able to elevate the importance of each informative channel in giving a deeper meaning to the document. The proposed approach finds several applications such as Web Content Mining, semantic classification and document topic extraction.
Unified Semantic Space for a Novel Multimodal Approach to Document Similarity
Tomazzoli, Claudio
2021
Abstract
The paper explores a new method to represent digital documents - containing several sources of information (text, images, videos, multimedia galleries) - in a semantic space able to elevate the importance of each informative channel in giving a deeper meaning to the document. The proposed approach finds several applications such as Web Content Mining, semantic classification and document topic extraction.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Unified_Semantic_Space_for_a_Novel_Multimodal_Approach_to_Document_Similarity.pdf
solo utenti autorizzati
Tipologia:
Versione dell'editore
Licenza:
Accesso ristretto
Dimensione
3.42 MB
Formato
Adobe PDF
|
3.42 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
