With the deepening of reform and opening up, the aquaculture industry has developed rapidly, and the demand for aquaculture risks has also changed. Due to the large individual differences of aquaculture groups and the high difficulty of research, there are few articles exploring this field. With the further development of science and technology, machine learning has become the mainstream of current analysis technology and has extended to the field of sentiment analysis. To this end, this paper proposes an insurance demand analysis method based on CNN. Combined with the sentiment dictionary method and the construction of a co-word network, an insurance demand sentiment analysis model is established. Through the method of cluster analysis, the survey data was sorted and analyzed, and the results proved that farmers with different identities have differences in the demand for insurance for crayfish breeding.
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