Hierarchical Latent Semantic Mapping for Automated Topic Generation
Table 2: The Test Classification Accuracy on The Data Sets Generated from 20Newsgroups
['[BOLD] Data set', '[BOLD] PLSA', '[BOLD] LDA', '[BOLD] asymmetric LDA', '[BOLD] TopicMapping', '[BOLD] HLSM']
We did the same data preprocessing as above, and the number of topics in each data set for LDA, PLSA, and asymmetric LDA was set to 4. The last row of the table shows the average accuracy over all data sets. From the table we can observe that HLSM outperformed all other topic models on six data sets.