Application of Deep Learning and Big Data Technology in Quality Evaluation System of Ideological and Political Work in Colleges and Universities

Abstract

The evaluation files of traditional Political and ideological work quality evaluation systems experience the ill effects of an absence of reliance and low degrees of dark relationship. Thus, this paper recommends a technique for applying deep learning and big data technology to schools and colleges' systems for assessing the quality of ideological and political work. Using big data technology, ideological and political work quality related data is uncovered by deep learning model, in the big data extricate has the attributes of data, admittance to record data, ascertain the loads of each file, record and weight of the item data, and follow the basic standards of ideological and political work quality evaluation record system, Divide the work quality grade by the ideological and political work quality evaluation values. The trial results show the way that the plan strategy can upgrade the level of dark relationship and common distinction of the evaluation record of the quality of ideological and political work, and that the evaluation file system can precisely mirror the quality of ideological and political work while likewise covering all evaluation parts.