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
2021-01-01

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.
2021
978-1-6654-4135-3
Industries, Semantics,Streaming media,Data mining,Videos,Multimodal Document,Semantic Web,Deep Learning,Big Data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1052825
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