Research on the mining of ideological and political knowledge elements in college courses based on the combination of LDA model and Apriori algorithm
- Autores: Long Wang
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 2345-2356
- Idioma: inglés
- Enlaces
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Resumen
n recent years, mapping of knowledge domain and political knowledge has developed rapidly and gradually penetratedinto many practical applications. The construction of an ideological and political knowledge framework for colleges hasbecome one of the important applications. Therefore, commencing with the theory of mapping of knowledge domain, andaiming at resolving the difficulty involved in effectively extracting and analysing ideological and political knowledge, amining method for ideological and political knowledge elements is constructed in this paper, based on LDA model andApriori algorithm. By setting a three-dimensional matrix of keywords and association rules, an algorithm for mining ofideological and political knowledge elements is proposed, where LDA model is used to acquire ideological and politicalsubject words, and Apriori algorithm is used to discover tacit ideological and political knowledge. It is helpful to solve theproblem of excavation and presentation of ideological and political elements in college curriculum, serve the ideologicaland political construction of curriculum, which is of great significance to dredge students’ learning paths and reducelearners’ learning cost.
