We then design an aspect ranking algorithm to identify the important aspects by simultaneously taking into account the aspect frequency and the influence of consumers' opinions given to each aspect on their overall opinions.
we assume that consumer's overall opinion rating on a product is generated based on a weighted sum of his/her specific opinions on multiple aspects of the product, where the weights essentially measure the degree of importance of the aspects.