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- W4365451500 abstract "Foreign language instruction is crucial and difficult in every nation. Effective teachers must consider students' attitudes, motivation, and knowledge. Quality teaching determines student success. This study presents an AI-based deep learning method for second language and English instruction. This dataset was collected from students' second language and English teaching preferences. Dimensionality reduction and missing value removal were done on the dataset. Fuzzy set-based clustering with stochastic gradient residual neural network (ResNet) architecture classified this processed data. Students' second language and English teaching opinions were collected using fuzzy rules. Fuzzy clustering and stochastic gradient ResNet architecture classified this data. Student opinion mining was used for experimental study of various datasets and the parametric analysis yielded 96% accuracy, 90% sensitivity, 92% specificity, 82% F-1 score, 72% Mean squared error (MSE), and 88% Area Under the Curve (AUC)." @default.
- W4365451500 created "2023-04-15" @default.
- W4365451500 creator A5046099220 @default.
- W4365451500 date "2023-04-13" @default.
- W4365451500 modified "2023-10-17" @default.
- W4365451500 title "Information Processing for Low Resource Processing Based Cognitive Psychology for Second Language Teaching by Opinion Mining using Deep Learning Architecture" @default.
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- W4365451500 doi "https://doi.org/10.1145/3590151" @default.
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