Analysis of the Path to Improve the Effectiveness of Ideological and Political Education in Universities Based on Information Fusion Technology

Abstract

This paper firstly constructs a reasonable education resource model according to the features of Civic Education Resources (CERs) and proposes an integration scheme of CER Library in universities based on information fusion technology. Secondly, the storage structure of Lucene’s inverted index is optimized for the management features of the CER Model, and a full-text index library of educational resources for resource retrieval is constructed. Then the advantages and features of information fusion techniques are used to provide college students with exclusive, practical, personalized and customized Civic Education measures to innovate the concept of ideological and political education (IPE) in colleges and universities. Finally, through the subject index of ideological education resources constructed based on the LDA model, the semantic processing of user queries, the design of effective experimentations to confirm the accuracy of the retrieval of ideological education resources, and its evaluation indexes are considered comprehensively from several aspects such as retrieval speed and accuracy rate. The results show that the maximum P @ N value of improved Lucene index retrieval is 1, which is 0.4 larger than that of traditional Lucene-based index retrieval, and the average performance of improved Lucene index retrieval is improved than that of traditional Lucene-based index retrieval in P @ N indexes. This study helps universities to innovate the concept of IPE to retain the ideas up to date and retain pace with the times.

Keywords

• information fusion technology
• semantic processing
• lucene index
• lda model
• evaluation index.
• 97b20