A semantic approach for document classification using deep neural networks and multimedia knowledge graph

作者：

Highlights：

• A combination of textual and visual information is suitable for topic detection.

• Semantic analysis and deep neural networks are used in our approach.

• Knowledge is represented by a Multimedia Knowledge Graph.

• A web document collection is a real scenario to test our strategy.

摘要

•A combination of textual and visual information is suitable for topic detection.•Semantic analysis and deep neural networks are used in our approach.•Knowledge is represented by a Multimedia Knowledge Graph.•A web document collection is a real scenario to test our strategy.

论文关键词：Multimedia topic detection,Document classification,Semantic analysis,Ontologies,Big data,Deep neural networks,Knowledge graph

论文评审过程：Received 6 July 2020, Revised 23 October 2020, Accepted 13 November 2020, Available online 18 November 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114320