Analysis of aquaculture insurance demand based on CNN and sentiment dictionary

Zihao Yang; Yiteng Zhang; Dongyi Guo

doi:10.1117/12.2644664

10 November 2022 Analysis of aquaculture insurance demand based on CNN and sentiment dictionary

Zihao Yang, Yiteng Zhang, Dongyi Guo

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123012B (2022) https://doi.org/10.1117/12.2644664
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

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.

Citation Download Citation

Zihao Yang, Yiteng Zhang, and Dongyi Guo "Analysis of aquaculture insurance demand based on CNN and sentiment dictionary", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123012B (10 November 2022); https://doi.org/10.1117/12.2644664

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available