Abstract:
In aspect-level opinion mining, each aspect is
assigned a rating based on customer reviews. More often than
not, these aspects exhibit a hierarchical relationship, and the
restaurant domain is no difference. With the existence of such
hierarchical relationships, rating of an aspect is based on the
composite score of its sub-elements. However, the influence of
these sub-aspects on the score of a parent aspect is not uniform,
since some sub-aspects are perceived more important than
others. Therefore, when calculating the composite score for an
aspect, influence of each sub-aspect should be weighted according
to its perceived importance. Identifying weights for different
aspects is addressed as the problem of multi-attribute weighting.
However the existing approaches do not utilize the relationships
between aspects to find weights. This paper presents an approach
to find weights for aspects that exhibit hierarchical relationships
in restaurant domain using an improved version of the Analytic
Hierarchy Process (AHP), one of the Multi Attribute Decision
Making Techniques (MADTs). Different aspects of the restaurant
domain are modeled as a hierarchy and weights for aspects are
calculated using AHP. Occurrence counts of aspects in restaurant
reviews are used to obtain the relative importance of aspects.
This approach provides acceptable consistency ratios for the
pairwise comparison matrices obtained for each level in the
hierarchy of aspects.
Citation:
R. Panchendrarajan, B. Murugaiah, S. Prakhash, M. N. Nazick Ahamed, S. Ranathunga and A. Pemasiri, "Cheap food or friendly staff? Weighting hierarchical aspects in the restaurant domain," 2016 Moratuwa Engineering Research Conference (MERCon), 2016, pp. 24-29, doi: 10.1109/MERCon.2016.7480110.