Author:
Guo Yanlu,Wang Jiaqi,Liang Peilin
Abstract
The field of gaming is an emerging field that receives a lot of attention nowadays, so its good development is important for the economy and society. In order to solve the potential problems of game development, this thesis collects the total number of users playing Wordle game, the difficulty of words and the number of attempts for the past 12 months, firstly pre-processing to eliminate the abnormal data, then using SPSS software to analyze the data from regression model and SVM model, using its dichotomous method to accurately fit the data, relying on the regression model The prediction model of the total number of users playing the game was established based on the principle of regression model, while the concept of SVM classification model was used to define the difficulty of the words of the Wordle game to establish the prediction model of the number of attempts per day for the users, and then the trend of the number of users and the number of attempts per day could be grasped through the two prediction models. Thus, Wordle game operators can take corresponding measures to maintain the game's popularity and ensure the number of users per day, which can help the game operators to generate more economic benefits.
Publisher
Darcy & Roy Press Co. Ltd.