¹National Engineering Research Center for e-Learning, Wuhan, China; College of Vocational and Continuing Education, Central China Normal University, Wuhan, China.
²Academy of Computer Science, Central China Normal University, Wuhan, China; Network Media Branch, National Language Resources Monitoring and Research Center, Wuhan, China.
³College of Computer ScienceWuhan Vocational College of Software and Engineering,Wuhan, China.
⁴College of Vocational and Continuing Education, Central China Normal University,Wuhan, China.

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Abstract—What a network learner post on a network learning forum directly reflects the learners’ need during from the network learning process. The network learning supporting service could be greatly improved with mining topics from the forum posts. For this purpose, this paper employs the Learner-Topic (LT) model to mine learners’ posts and discover the topics. The results from the model are used to search the learners who have the same learning interest and recommend the learning resources in a recommendation system.

Index Terms—Network learner, topic model, LT model, post, recommendation.

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Cite: Changri Luo, Tingting He, Xinhua Zhang, Zibo Zhou, "Learning Forum Posts Topic Discovery and Its Application in Recommendation System," Journal of Software vol. 10, no. 4, pp. 392-402, 2015.