A Hybrid Framework for Topic Structure using Laughter Occurrences
Table 2: BayesTopic, BestCluster and Hybrid Approach Individual Conversation Analysis Results
['[BOLD] ICSI ID', '[BOLD] BayesTopic P_k', '[BOLD] BayesTopic WD', '[BOLD] BestCluster P_k', '[BOLD] BestCluster WD', '[BOLD] Hybrid P_k', '[BOLD] Hybrid WD']
Still the performances are comparable to the best performances in each of these two cases. In the same table we also compute the means and the standard deviation of all the measures in total. We observe that comparatively the standard deviation of the window difference (WD) of the BayesTopic approach is higher than that of other approaches, whereas the Pk of the same approach is marginally higher than the other values of the two rest approaches.