topic model, named labeled LDA with function terms (LF-LDA), to filter out the noisy function terms from text documents …

model is based on the approach, which indicates that each message has a mixture of many topics. However, topic model has … social networks with the temporal factor; (ii) labelling the latent topics from topic model based on topic taxonomy; (iii … topics are important features. Unlike the traditional approach, which views each message belonging to a topic, the topic …

,000 suggests, while many of them are redundant. They classify redundant search engine suggests based on a topic model. However, one … limitation of the topic model based classification of search engine suggests is that the granularity of the topics, i.e., the … the topic model, in addition to the text data of the whole Japanese version of Wikipedia. Then, the authors examine the …