Exploring the Role of Artificial Intelligence in Multimodal Cultural Communication and Identification
Pubblicato online: 18 nov 2024
Ricevuto: 22 giu 2024
Accettato: 30 set 2024
DOI: https://doi.org/10.2478/amns-2024-3289
Parole chiave
© 2024 Yu He, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Artificial intelligence technology has unique advantages in processing multimodal information such as images, videos and sounds, and plays an important role in the process of enhancing the effect of multimodal cultural communication. The Page Rank model is used to identify communication subjects based on the role of key communication subjects in cultural communication, as proposed in this paper. A genetic algorithm is utilized to improve the traditional neural network algorithm, so that it provides more accurate prediction results and countermeasures in the process of promoting cultural communication. The analysis shows that the OLMT algorithm has an average accuracy of 94.56% in a specific identification interval. The difference between the expected and actual output values of the improved neural network algorithm for the test samples was less than 0.7.