Research on the Deep Mining of Chinese Language Learning by Internet New Media Information Technology

Ying Huang
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Abstract

With the continuous popularization of computers and networks, a new language form of network language has emerged at the historic moment. At present, it is believed that the new media network language has brought a certain impact on the language learning of school students, but the impact on different cities and different regions must be different. The purpose of this article is to study the influence of the new media network language on the development of Chinese language, literature and culture and its significance in the future. This paper uses big data algorithms and in-depth mining algorithms to initially construct a data model that simulates the influence of new media network languages on the development of Chinese language, literature and culture, and sorts out the basic process of the influence of new media network languages on the development of Chinese language, literature and culture. The experimental results show that Interviews and questionnaire surveys were conducted with experimental students. More than 90% of the students believed that the influence of new media network language on the development of Chinese language, literature and culture has a positive significance.
基于互联网新媒体信息技术的汉语学习深度挖掘研究
随着计算机和网络的不断普及,网络语言这一新的语言形式应运而生。目前认为,新媒体网络语言对在校学生的语言学习带来了一定的影响,但对不同城市、不同地区的影响必然是不同的。本文的目的是研究新媒体网络语言对中国语言、文学和文化发展的影响及其未来的意义。本文运用大数据算法和深度挖掘算法,初步构建了模拟新媒体网络语言对中国语言文学文化发展影响的数据模型,梳理出新媒体网络语言对中国语言文学文化发展影响的基本过程。实验结果表明,对实验学生进行了访谈和问卷调查。90%以上的学生认为新媒体网络语言对中国语言文学文化发展的影响具有积极意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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