情报杂志2024，Vol.43Issue(1)：160-166,7.DOI:10.3969/j.issn.1002-1965.2024.01.022
社交网络舆情多模态知识图谱构建框架研究
Research on the Construction Framework of Multi-Modal Knowledge Graph for Social Network Public Opinion
摘要
Abstract
[Research purpose]The development of information technology has enriched the communication methods of social media users.The construction of a multimodal knowledge graph for social network public opinion has important practical significance for public opinion governance on the internet.[Research method]Based on the semantic complementarity of multimodal data,various heterogeneous data fusion methods,such as entity attribute association,image(video)textual description,image(video)attributes,and image(video)as-sociations,are discussed.Based on these,a framework for constructing a multimodal knowledge graph for social network public opinion is proposed,and the problems and challenges in multimodal semantic understanding,multimodal entity alignment,and multimodal knowl-edge representation are analyzed.[Research conclusion]A framework for constructing a multimodal knowledge graph for social network public opinion based on multimodal knowledge fusion is proposed,providing valuable reference for the increasingly diverse interaction methods in public opinion governance on social networks.关键词
社交媒体/多模态/多模态知识图谱/多模态数据/网络舆情/舆情治理/情感分析Key words
social media/multimodal/multimodal knowledge graph/multimodal data/online public opinion/public opinion govern-ance/sentiment analysis分类
社会科学引用本文复制引用
何巍..社交网络舆情多模态知识图谱构建框架研究[J].情报杂志,2024,43(1):160-166,7.基金项目
教育部人文社会科学研究青年基金项目"基于知识图谱的突发事件网民情绪风险感知与引导机制研究"(编号:21YJC860009)研究成果. （编号:21YJC860009）
