Research on Application of Data Mining in Virtual Community of Foreign Language Learning

作     者：GAO Liuxin 

作者机构：Zhengzhou University of Science and Technology Zhengzhou China 450064 

出 版 物：《International English Education Research》 (国际英语教育研究（英文版）)

年 卷 期：2018年第1期

页      面：7-9页

学科分类：0502[文学-外国语言文学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 05[文学] 08[工学] 050211[文学-外国语言学及应用语言学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Data mining Foreign language learning Virtual community Language environment Fuzzy clustering 

摘      要：The construction of virtual community in foreign language learning is a comprehensive foreign language learning environment integrated with foreign language vocabulary database construction and vocabulary retrieval, combining the virtual reality technology to construct the language environment of foreign language learning. The virtual community of foreign language leaming can improve the sense of language authenticity in foreign language learning and improve the quality of foreign language teaching. A method of building a virtual community for foreign language learning is proposed based on data mining technology, data acquisition and feature preprocessing model for building semantic vocabulary of foreign language learning is constructed, the linguistic environment characteristics of the semantic vocabulary data of foreign language learning is analyzed, and the semantic noumenon structure model is obtained. Fuzzy clustering method is used for vocabulary clustering and comprehensive retrieval in the virtual community of foreign language learning, the performance of vocabulary classification in foreign language learning is improved, the adaptive semantic information fusion method is used to realize the vocabulary data mining in the virtual community of foreign language learning, information retrieval and access scheduling for virtual communities in foreign language learning are realized based on data mining results. The simulation results show that the accuracy of foreign language vocabulary retrieval is good, improve the efficiency of foreign language learning.