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.
Titolo: | Unified Semantic Space for a Novel Multimodal Approach to Document Similarity | |
Autori: | TOMAZZOLI, Claudio (Corresponding) | |
Data di pubblicazione: | 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. | |
Handle: | http://hdl.handle.net/11562/1052825 | |
ISBN: | 978-1-6654-4135-3 | |
Appare nelle tipologie: | 04.01 Contributo in atti di convegno |
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