首页|Reports Outline Artificial Intelligence Study Findings from Chinese Academy of S ciences (Optimal Target-oriented Knowledge Transportation for Aspect-based Multi modal Sentiment Analysis)
Reports Outline Artificial Intelligence Study Findings from Chinese Academy of S ciences (Optimal Target-oriented Knowledge Transportation for Aspect-based Multi modal Sentiment Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Machine Learning - Artificial Intelligence. According to news reporting from Beiji ng, People's Republic of China, by NewsRx journalists, research stated, “Aspect- based multimodal sentiment analysis under social media scenario aims to identify the sentiment polarities of each aspect term, which are mentioned in a piece of multimodal user-generated content. Previous approaches for this interdisciplina ry multimodal task mainly rely on coarse-grained fusion mechanisms from the data -level or decision-level, which have the following three shortcomings:(1) ignori ng the category knowledge of the sentiment target (mentioned in the text) in vis ual information. (2) unable to assess the importance of maintaining target inter action during the unimodal encoding process, which results in indiscriminative r epresentations considering various aspect terms. (3) suffering from the semantic gap between multiple modalities.”
BeijingPeople's Republic of ChinaAsiaArtificial IntelligenceMachine LearningChinese Academy of Sciences
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