Abstract
In the evaluation of graduation theses, teachers’ evaluation criteria for graduation theses are inconsistent, subjective and not completely reasonable and fair. This paper proposes using the BERT model to analyze the existing graduation papers in colleges and universities and make quantitatively evaluate students’ graduation projects according to the given relevant parameters. The purpose of this method is to use standards to make comprehensive, systematic and accurate evaluations and avoid the phenomenon of high repetition and similarity caused by a large number of teachers’ comments. This can not only effectively improve the efficiency of graduation design evaluation but also improve the fairness of evaluation. In this paper, changing the review work of the graduation thesis from pure manual operation to machine review combined with manual operation can not only reduce manpower consumption but also make the review work more objective and fair, making it more objective on the basis of traditional subjective review.
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Zhu, Y., Li, Z., Li, Y., Wang, Y. (2022). Automatic Generation of Graduation Thesis Comments Based on Multilevel Analysis. In: Wang, Y., Zhu, G., Han, Q., Wang, H., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1628. Springer, Singapore. https://doi.org/10.1007/978-981-19-5194-7_6
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DOI: https://doi.org/10.1007/978-981-19-5194-7_6
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