Using Social Big Data and Neural Network Algorithms to Evaluate the Quality of Talent Training in Colleges and Universities

DOI

10.2991/978-94-6463-005-3_37How to use a DOI?

Keywords

Talent training in colleges and universities; Neural network algorithm; Sentiment analysis

Abstract

This study captures the social texts of 48 undergraduate colleges and universities in Guangdong Province, uses text sentiment analysis and text classification technology to conduct research on the data, and builds an evaluation model for the quality of college talent training, so as to explore the public’s influence on higher education talent training in the network society. Quality attitudes and suggestions, discussing whether this technology can be transformed into: the possibility of relevant universities and departments to provide commercial services corresponding to public opinion monitoring and decision support.

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  - Shaoying Chen
AU  - Zhenyu Huang
AU  - Zhe Chen
PY  - 2022
DA  - 2022/11/10
TI  - Using Social Big Data and Neural Network Algorithms to Evaluate the Quality of Talent Training in Colleges and Universities
BT  - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
PB  - Atlantis Press
SP  - 375
EP  - 383
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-005-3_37
DO  - 10.2991/978-94-6463-005-3_37
ID  - Chen2022
ER  -