Text Mining for Educational Literature on Big Data with Hadoop

摘要

With the development of the information era, the application of big data technology in education has become more and more extensive. This article adopts the Hadoop platform to conduct parallel mining of educational literature on big data. The paper has analyzed the main function of text mining technology, combined Canopy and K-Means algorithm to analyze and research the educational big data literature, learned about the application of big data technology in the field of education in order to provide its services for the construction of "World-class universities and first-class disciplines" and make a contribution to the development of education.