A learning interest discovery method for an online learning community, which relates to text mining technology in the field of computer technology natural language processing, comprising: acquiring multi-dimensional behavior and text information generated by a learner in an online learning community (A000); combining a domain knowledge named entity word and a learning emotion word to perform text word segmentation (A001); on the basis of a timing-emotion-topic text modeling algorithm, mining the probability distribution of a topic of interest related to emotion and timing information (A002); identifying a learner's learning interests and non-learning interests on the basis of a semantic similarity calculation method (A003); and outputting a learning interest label and the weight thereof according to an application scenario (A004). The method can effectively discover a learner's learning interests, significantly improve the interpretability and accuracy of the learning interests, and help to provide a personalized learning service for the learner.
LEARNING INTEREST DISCOVERY METHOD FOR ONLINE LEARNING COMMUNITY