Talent Evaluation Model for College Students Based on Big Data Technology

Abstract

In order to improve the evaluation effect of college students' comprehensive quality, this paper combines big data technology to build a college student talent evaluation model, proposes a bilingual LDA model that integrates college students' evaluation characteristics, and completes the construction of the model. Moreover, this paper proposes the specific process of normative comparison, and conducts the comparison experiment and result analysis of normative comparison according to the process. Finally, this paper evaluates the results of each comparison process and compares it with the bilingual LDA model without word features to prove the effectiveness of the comparison model and comparison process constructed in this paper. The experimental analysis shows that the college student talent evaluation model based on big data technology proposed in this paper can effectively improve the effect of college student talent evaluation.