[Retracted] Optimization of Data Mining and Analysis System for Chinese Language Teaching Based on Convolutional Neural Network

Abstract

Chinese language is also an important way to understand Chinese culture and an important carrier to inherit and carry forward Chinese traditional culture. Chinese language teaching is an important way to inherit and develop Chinese language. Therefore, in the era of big data, data mining and analysis of Chinese language teaching can effectively sum up experience and draw lessons, so as to improve the quality of Chinese language teaching and promote Chinese language culture. Text clustering technology can analyze and process the text information data and divide the text information data with the same characteristics into the same category. Based on big data, combined with convolutional neural network and K-means algorithm, this paper proposes a text clustering method based on convolutional neural network (CNN), constructs a Chinese language teaching data mining analysis system, and optimizes it so that the system can better mine Chinese character data in Chinese language teaching data in depth and comprehensively. The results show that the optimized k-means algorithm needs 683 iterations to achieve the target accuracy. The average K-measure value of the optimized system is 0.770, which is higher than that of the original system. The results also show that K-means algorithm can significantly improve the clustering effect, optimize the data mining analysis system of Chinese language teaching, and deeply mine the Chinese data in Chinese language teaching, so as to improve the quality of Chinese language teaching.

Analyse Chinese Teaching Project-Based Learning Design Application Optimization Using Keras Model

“…It has been demonstrated that the proposed strategy provides more accurate learning improvement than the current method. The existing methodologies like CNN [23], SVM [24] and KNN [25]. With the suggested system, accuracy is at 93%, while CNN is at 75%, SVM is at 63%, and KNN is at 82%.…”

“…The article presents several forms of educational materials and shows how they may be used to enhance learning services [21] [22].The research explained about building the text clustering approach using convolutional neural networks may more effectively and thoroughly mine. Chinese character data led to the optimization of the k-means method to reach the desired accuracy [23]. The article developed the strength of the social and educational sectors involved with the standard of art education, as well as artistic potential.…”

Retracted: Optimization of Data Mining and Analysis System for Chinese Language Teaching Based on Convolutional Neural Network

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”