现代信息科技2025，Vol.9Issue(6)：57-61,5.DOI:10.19850/j.cnki.2096-4706.2025.06.011
基于多模态语义挖掘的新闻关键词提取方法
News Keyword Extraction Method Based on Multimodal Semantic Mining
摘要
Abstract
In the era of information explosion,the problem of information overload in online news is becoming increasingly serious,and traditional classification methods often fail to accurately identify key information in multimodal scenarios.To address these issues,a multimodal-based keyword extraction method is designed and proposed.By means of semantic understanding of long texts and extraction of key information from news images,this method fuses and screens the key information in multimodal news content,and improves the accuracy of news keyword extraction through multimodal fusion.The results of comparative experiments with multiple baseline models demonstrate that the designed model can achieve better performance indicators in multimodal keyword extraction scenarios,and the keyword extraction results are more accurate.关键词
关键词提取/多模态融合/预训练模型/目标识别/语义融合编码Key words
extraction/multimodal fusion/pre-trained model/object recognition/semantic fusion embedding分类
信息技术与安全科学引用本文复制引用
刘瑜..基于多模态语义挖掘的新闻关键词提取方法[J].现代信息科技,2025,9(6):57-61,5.
