Graduation Thesis Topic Recommendation Based on Neural Network

DOI

10.2991/978-94-6463-040-4_62How to use a DOI?

Keywords

text mining; neural network; thesis topic recommendation

Abstract

Undergraduate graduation design thesis is not only the goal of higher education, but also an important link. It plays an important role in training college students to carry out scientific research, basic training, and improve their ability and comprehensive quality. This paper takes the engineering class of the College of Electronic and Electrical Engineering as the research object, the paper uses text mining algorithm to know the main research topic and the simulation software used. In order to solve the problem of how to guide the students to choose the suitable graduation project theme, this paper puts forward some suggestions to the students through the method of neural network.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xuemei Li
AU  - Maryli F. Rosas
PY  - 2022
DA  - 2022/12/27
TI  - Graduation Thesis Topic Recommendation Based on Neural Network
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 409
EP  - 414
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_62
DO  - 10.2991/978-94-6463-040-4_62
ID  - Li2022
ER  -