A Study of Wordle Game Results Based on Deep Learning

Wordle is a popular daily puzzle currently offered by The New York Times. Players attempt to solve the puzzle by guessing a five-letter word six times or less, receiving feedback for each guess. We use a Savitzky-Golay filter to handle the noise in the data. Then, we built an LSTM model to predict t...

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Bibliographic Details

Published in:	2023 7th International Conference on Computer, Software and Modeling (ICCSM) pp. 20 - 24
Main Authors:	Gong, Zhenxi, Yao, Junchen, Qian, Weiyi, Zhou, Yuhang, Han, Jiaxing
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.07.2023
Subjects:	CCNN clustering Clustering algorithms Computational modeling Deep learning Games LSTM Prediction algorithms Predictive models Software algorithms Wordle
Online Access:	Get full text
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