计算机工程与应用2024，Vol.60Issue(2)：1-18,18.DOI:10.3778/j.issn.1002-8331.2305-0439
基于多模态融合的情感分析算法研究综述
Survey of Sentiment Analysis Algorithms Based on Multimodal Fusion
摘要
Abstract
Sentiment analysis is an emerging technology that aims to explore people's attitudes toward entities and can be applied to various domains and scenarios,such as product evaluation analysis,public opinion analysis,mental health analysis and risk assessment.Traditional sentiment analysis models focus on text content,yet some special forms of expres-sion,such as sarcasm and hyperbole,are difficult to detect through text.As technology continues to advance,people can now express their opinions and feelings through multiple channels such as audio,images and videos,so sentiment analysis is shifting to multimodality,which brings new opportunities for sentiment analysis.Multimodal sentiment analysis contains rich visual and auditory information in addition to textual information,and the implied sentiment polarity(positive,neu-tral,negative)can be inferred more accurately using fusion analysis.The main challenge of multimodal sentiment analysis is the integration of cross-modal sentiment information;therefore,this paper focuses on the framework and characteristics of different fusion methods and describes the popular fusion algorithms in recent years,and discusses the current multi-modal sentiment analysis in small sample scenarios,in addition to the current development status,common datasets,feature extraction algorithms,application areas and challenges.It is expected that this review will help researchers understand the current state of research in the field of multimodal sentiment analysis and be inspired to develop more effective models.关键词
多模态/情感分析/模态融合Key words
multimodal/emotional analysis/modal fusion分类
信息技术与安全科学引用本文复制引用
郭续,买日旦·吾守尔,古兰拜尔·吐尔洪..基于多模态融合的情感分析算法研究综述[J].计算机工程与应用,2024,60(2):1-18,18.基金项目
国家自然科学基金(61961039). （61961039）
