基于统一语义空间的多模态文档相似度分析方法

2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI) Pub Date : 2021-09-06 DOI:10.1109/rtsi50628.2021.9597240

Simone Scannapieco, A. Ponza, Claudio Tomazzoli

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引用次数: 0

摘要

本文探索了一种新的方法来表示数字文档-包含多个信息源(文本，图像，视频，多媒体库)-在语义空间中能够提高每个信息通道的重要性，从而赋予文档更深的含义。该方法在Web内容挖掘、语义分类和文档主题提取等方面具有广泛的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Unified Semantic Space for a Novel Multimodal Approach to Document Similarity

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.

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来源期刊

2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)

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