Research on Online Course Portrait Based on Text Analysis
[Purpose/significance]In the era of"Internet+Education",online courses are rich and diverse,and it is difficult for learners to quickly find suitable online courses.While the traditional online course introduction cannot provide adaptive guidance,the course portrait can describe the overall definition of the course and meet the needs of learners'differentiated course adaptation.[Meth-od/process]Based on text analysis,this paper establishes relevant language models and constructs the online course portrait.This pa-per takes the learners'online review text as the data set,and constructs the conceptual model of the course portrait from three dimen-sions:the basic information of the course,the joint topic model and the emotion discrimination.The joint topic model first calculates the correlation between words through the Word2Vec algorithm based on word vector,and constructs the initial similar lexicon;next,com-bined with the K-means text clustering algorithm,the comment topic is extracted from two dimensions;finally,ROST_CM6 software is used to judge the sentiment of the comment text and analyze the semantic network.After data visualization,the course portrait is ob-tained.[Result/conclusion]The final portrait can clearly present the course description from the learner's perspective and promote the overall learning efficiency.
万方数据
维普
