  Multimodal sentiment analysis has become an important research area in the
field of artificial intelligence. With the latest advances in deep learning,
this technology has reached new heights. It has great potential for both
application and research, making it a popular research topic. This review
provides an overview of the definition, background, and development of
multimodal sentiment analysis. It also covers recent datasets and advanced
models, emphasizing the challenges and future prospects of this technology.
Finally, it looks ahead to future research directions. It should be noted that
this review provides constructive suggestions for promising research directions
and building better performing multimodal sentiment analysis models, which can
help researchers in this field.
