Bimodal fusion network with multi-head attention for multimodal sentiment analysis

HIGHLIGHTS

SUMMARY

    The existing sentiment analysis tasks are divided into single-modal sentiment analysis and multimodal sentiment analysis. The problem of "vector offset" will occur in the text modality superimposed with other modal information, which leads to the difference between the vector features obtained and the real sentimental features expressed by the text and finally affects the SA accuracy. Specifically, words that express sentiment in the text modality have a specific vector space, and the introduction of other modal information causes the intensity and direction of the word`s vector to move in the original vector . . .

     

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