Opinion Mining in Online Reviews About Distance Education Programs
Table 2: Results for different model structures. The results for the categories are as predicted for the flat model (“Flat”). In the hierarchical model (“Hier.”) and the category propagation model (“Prop.”), the category labels as inferred from the aspect prediction are provided in addition.
['Model', 'Type', 'Macro (%) P', 'Macro (%) R', 'Macro (%) F', 'Micro (%) P', 'Micro (%) R', 'Micro (%) F']
The micro-averaged values tend to be higher than the macro-averaged scores due to the unbalancedness of the aspect frequencies; this means that the more frequent an aspect is, the more accurately it can be detected. However, the differences between different model structures are similar, such that we focus on the micro-averaged scores in the discussion.