Clustering Analysis Method of Ethnic Cultural Resources Based on Deep Neural Network Model

摘要

This paper proposes a method of clustering analysis of ethnic cultural resources based on deep neural network model. Firstly, the feature word extraction and vectorization of ethnic cultural resources texts are realized by doc2vec document vectorization tool. Then K-means clustering algorithm is used to cluster the ethnic cultural resources texts after vectorization, and the Elbow method is used to determine the best aggregation. So as to obtain the correlation between the texts of ethnic cultural resources, which is used for the collection, storage and intelligent service of massive ethnic cultural resources provides technical support. At the end of the paper, the ethnic cultural resources in the specific ethnic website are taken as an example to analyze the above methods.