Preference Analysis of Overseas Game Players for Chinese Cultural Elements Based on Text Mining—Taking"Genshin Impact"as an Example
Domestic games are becoming increasingly popular among young players overseas,and the Chinese excellent traditional culture embedded in games is also"going global"with the popularity of domestic games.This paper takes the comments on the game content of Chinese excellent traditional cultural elements published by overseas"Genshin Impact"game players on the YouTube social media platform as the research object,obtains online comment data through the Python crawler program,preprocesses the scraping data,constructs the Word2Vec model by using the standardized comment data,and draws the keyword word cloud diagram.Finally,the Large Language Model is used to conduct sentiment analysis on the comment text data,presenting the research results in a visual way,so as to help game developers understand the degree of overseas players'love for different Chinese excellent traditional cultural elements in the game.It provides data support for the update of Chinese excellent traditional culture content in subsequent games,and then promotes the Chinese excellent traditional culture to"go global"better.
sentiment analysisPython crawlerLarge Language ModelChinese excellent traditional culture
国家科技期刊平台
NSTL
万方数据
