Aesthetic Quality of Literary Works Based on Data Mining Technology under the Background of Big Data

Abstract

The cultivation of aesthetic quality of literary works is an important part of promoting the cultural development strategy of national college students. The traditional methods of cultivating the aesthetic quality of literary works can't recommend and choose effective resources according to the students' interests, and the estimation of students' preferences is biased. Under the background of big data, this paper estimates the students' interests and preferences according to the data mining algorithm, so as to independently recommend and select effective resources to promote the cultivation of students' aesthetic quality of literary works. At the same time, according to the requirements and ideas of teaching reform, this paper proposes to effectively carry out the teaching of literary works appreciation, cultivate students' good aesthetic taste and improve students' aesthetic ability. From three aspects: the first is the classic guide, cultivate good aesthetic taste. The second is to put the article into the feeling, to have fun and experience the aesthetic perception. Finally, God will be interested, enjoy themselves, enhance the aesthetic understanding and aesthetic realm. The experimental data show that this method can accurately improve the students' aesthetic quality of literary works.