Correlation analysis of mathematical knowledge points based on word co-occurrence and clustering

The connection between knowledge points in teaching resources cannot be represented accurately. A method based on word co-occurrence and cluster analysis is proposed. First, the subject word extraction algorithm is used to extract the subject words; then the word co-occurrence analysis method is used to analyze the association relationship of the subject word pairs and visualize; finally, cluster analysis is performed on the basis of the association statistical characteristics to find the hidden subject clusters. Taking high school mathematics test question resources as an example, applying the method can better reflect the relationship between knowledge points.