A method for mining the association of homogenized elements of traditional crafts and cultural products based on latent semantic analysis

Traditional craft and cultural products have become increasingly homogenized in recent years as the Internet has grown in popularity.Rural tourism has gained a lot of attention since the rural revitalization strategy was put into place, rural tourism has grown rapidly, but the problem of homogenization of rural tourism products has emerged.This paper examines the factors contributing to the homogenization of rural tourism products, as well as possible solutions, by starting with the unique traditional craft and cultural product of the region.In addition, to address the homogenization issue, this paper uses the latent semantic analysis method and the KNN method to mine the homogenization elements in the product.Because the traditional KNN text algorithm only considers simple concept matching when calculating the similarity between texts, the KNN classifier is used to classify the terms in the training and test sets.Meaning can be lost and classification results can be inaccurate as a result of this.The KNN algorithm is used in this paper to classify the semantic information of low-dimensional texts, in order to achieve the mining and classification of homogeneous elements in response to this situation.Algorithms described in this paper are capable of performing correlation mining on homogenized elements in traditional craft or cultural products, as demonstrated by the experimental results.