Education, Science, Technology, Innovation and Life
Open Access
Sign In

Strategies for analyzing the guessing game "Wordle"

Download as PDF

DOI: 10.23977/jeis.2023.080601 | Downloads: 9 | Views: 197

Author(s)

Peixin Guo 1, Baoqi Wang 2, Zuyou Fan 2

Affiliation(s)

1 College of Transportation Engineering, Chang'an University, Xi'an, Shaanxi, 710061, China
2 School of Energy and Electrical Engineering, Chang'an University, Xi'an, Shaanxi, 710061, China

Corresponding Author

Peixin Guo

ABSTRACT

Nowadays, games have become indispensable for people's entertainment. Among them, the five-letter decryption game "world" launched by the New York Times has swept the world. Many players also reported their scores on Twitter. Through these published data, we found some interesting information. According to the information and requirements given by the topic, the table data attached to the topic is preprocessed. Find an exception in the data and delete it. The attributes of a given word are extracted by data encoding. We draw a line graph of the data, observe its trend change and perform curve fitting. The study found that the first half of the curve rose rapidly and the second half fell slowly. The fitting curve function was obtained, and the goodness of fit were 0.9521 and 0.9629, respectively. Using the curve, the quantitative range of results reported on March 1, 2023 is [5805.390,6075.43]. The sensitivity analysis was carried out by changing the four parameters of the fitting curve. The results show that the predicted value is within the reasonable range. Based on the parts of speech classification and the number of letter repeats, we investigate whether they affect the percentage distribution of difficult sentence patterns. Secondly, we optimize the LSTM model based on particle swarm optimization algorithm, and carry out hyperparameter optimization processing to build the PSO-LSTM model. Compared with LSTM, it is found that its model expression is better than that of single LSTM model. The MAPE value of the test set is 1.248, which means the uncertainty is 1.248%, so we have 98.752 percent confidence in the accuracy of the model. The EERIE data were encoded and put into the established PSO-LSTM model, and the correlation percentages were 0.432, 3.631, 19.326, 30.291, 26.954, 14.234 and 5.132, respectively.

KEYWORDS

Wordle; Curve Fitting; PSO-LSTM

CITE THIS PAPER

Peixin Guo, Baoqi Wang, Zuyou Fan, Strategies for analyzing the guessing game "Wordle". Journal of Electronics and Information Science (2023) Vol. 8: 1-6. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2023.080601.

REFERENCES

[1] Alexander B. Instructional Strategies for Analyzing Media Literacy in the Classroom[J] Texas Speech Communication Journal. 2016.
[2] TANG YF, CAI Y, ZHOU Shuai, WANG Member, YANG Zelin, CHEN Xinghong. Research on fault diagnosis method of rotating machinery based on PSO-BP-Adaboost [J]. Journal of Sichuan University of Light and Chemical Engineering (Natural Science Edition), 2023, 36(04):26-33. 
[3] TIAN Jie, LI Yang, ZHANG Lei, LIU Zhen. Adaptive control of temporary support force based on PSO-BP neural network [J]. Industrial and Mining Automation, 2023, 49(07):67-74. 
[4] Deng Yuxuan. Research on cost prediction of urban railroad based on adaptive PSO-BP neural network[J]. Construction Economy, 2023, 44(S1):92-96. 
[5] SHI Peilong, CHANG Hong, WANG Cairui, MA Qiang, ZHOU Meng. Research on path tracking control of driverless car based on PSO-BP optimized MPC[J]. Automotive Technology, 2023, (07):38-46. 
[6] Cai Hairong. Research on cold chain logistics service provider selection based on rough PSO-BP neural network[J]. China Business Journal, 2023, (13):71-74. 
[7] Nick Smurthwaite. OBITUARIES: Irving Wardle[J]. The Stage, 2023, (10). 
[8] Ross Norbert. the intersection of violence and early COVID-19 policies in El Salvador. [J]. American anthropologist, 2022, 124(3). 
[9] Khosravifar B , Alishahi M , Bentahar J ,et al.A Game Theoretic Approach for Analyzing the Efficiency of Web Services in Collaborative Networks[C]//IEEE International Conference on Services Computing.IEEE, 2011.DOI: 10. 1109/ SCC.2011.76.
[10] Alfaro Karla, Soler Montserrat, Maza Mauricio, Flores Mauricio, López Leticia, Rauda Juan C. , Chacón Andrea, Erazo Patricia, Villatoro Nora. Mumenthaler Eveline, Masch Rachel, Conzuelo Gabriel, Felix Juan C., Cremer Miriam. Cervical Cancer Prevention in El Salvador: Gains to Date and Challenges for the Future[J]. Cancers, 2022, 14(11).

Downloads: 5390
Visits: 234018

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.