Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 10, Issue 1


Published
on

March 17, 2025


Pages


DOI

Article

The Value of Japanese Monster Culture in Folk Culture Research in the Age of Big Data

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Authors

Hong Zhang Affiliation:
School of Foreign Languages, Sanda University, Shanghai, 201209, China


Abstract

Japanese monster culture is an important part of Japanese folk beliefs. In this paper, we use a web crawler to collect data on audience online comments on Japanese monster culture, and preprocess the data by removing operations such as missing values and duplicate values. The features in the collected data are then extracted using the expected cross-entropy method to transform the text into a structured format. Sentiment analysis methods were also used to scan the text data, determine sentiment word tendencies and calculate output sentiment values based on degree level words. The study shows that the audience’s emotional attitude toward anime that incorporates Japanese monster culture is basically positive, with an average sentiment value between 0.3 and 0.46. The analysis of the value of Japanese monster culture found that the average emotional value of the audience in each dimension of emotional and cognitive value is between 3.71-4.58, indicating that Japanese monster culture, as a carrier of Japanese folk culture, embodies a high value in folk culture research. This paper provides a reference for research in the field of Japanese monster culture to help with the dissemination and inheritance of folk culture.


Keywords

Web crawler, Feature extraction, Expected cross entropy, Sentiment value, Japanese monster culture., 68T09


Citation

Zhang, H. (2025). The value of japanese monster culture in folk culture research in the age of big data. Applied Mathematics and Nonlinear Sciences, 10(1). https://doi.org/10.2478/amns-2025-0247

Published by: Engineering Journals

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