A Decision Support Method for Interdisciplinary Major in Colleges and Universities Based on Natural Language Processing and Data Mining

With the development of science and technology, many disciplines reveal the general trends of crossing and blending, and new interdisciplinary subjects emerge. For decision makers in colleges and universities, it is crucial and difficult to choose and construct a proper interdisciplinary major. In t...

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Bibliographic Details
Published in2021 International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR) pp. 75 - 78
Main Author Zou, Lida
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2021
Subjects
Big Data
component
Decision making
decision support
Education
electric current simulation
interdisciplinary major
Manuals
Natural language processing
Technological innovation
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Summary:With the development of science and technology, many disciplines reveal the general trends of crossing and blending, and new interdisciplinary subjects emerge. For decision makers in colleges and universities, it is crucial and difficult to choose and construct a proper interdisciplinary major. In the paper we simulate the phenomenon of current conduction to improve natural language processing and data mining. An assistant decision-making method of setting up interdisciplinary majors for colleges and universities is designed, which could not only intelligently and automatically recommend the most suitable interdisciplinary majors, but also simplify and correct the work of decision-makers. Our experimental analysis demonstrates that similarity ratio of interdisciplinary majors recommended by the proposed assistant decision-making method runs at more than 70 percent compared with manual recommendation of specialists.
DOI:10.1109/ICBAR55169.2021.00025