9. A method comprising: receiving using one or more computer processors, from a comments website, an input that includes a plurality of comments related to a target entity, each comment of the plurality of comments including an overall rating related to the target entity and at least one phrase that includes a head term and a modifier associated with the head term that is represented by a bag of phrases; identifying a plurality of aspect clusters based on a plurality of comments, wherein each aspect cluster of the plurality of aspect clusters corresponds to an aspect of the target entity the identifying of the plurality of aspect clusters includes: identifying the head term in the at least one phrase of a portion of the comments in the plurality of comments, and mapping each head term to one of a plurality of aspect clusters; determining an aspect rating corresponding to each of the aspect clusters and the corresponding aspect of the target entity based on an aggregation of the overall ratings in the portion of the plurality of comments, the aspect rating including a numerical measure showing a degree of satisfaction demonstrated in the portion of comments towards the aspect; extracting, from the portion of comments, a representative phrase corresponding of the aspects that supports or explains the aspect rating; generating an output that includes the overall ratings of the portion of comments decomposed into two or more of the aspects of the target entity, the aspects having associated therewith the representative phrases with support information that serve as indices to navigate into a set of specific comments about a particular aspect of the two or more of the aspects; and causing presentation of the generated output on a client machine, to tailor comments related to the target entity to the generated output instead of overall ratings.
9. A method comprising: receiving using one or more computer processors, from a comments website, an input that includes a plurality of comments related to a target entity, each comment of the plurality of comments including an overall rating related to the target entity and at least one phrase that includes a head term and a modifier associated with the head term that is represented by a bag of phrases; identifying a plurality of aspect clusters based on a plurality of comments, wherein each aspect cluster of the plurality of aspect clusters corresponds to an aspect of the target entity the identifying of the plurality of aspect clusters includes: identifying the head term in the at least one phrase of a portion of the comments in the plurality of comments, and mapping each head term to one of a plurality of aspect clusters; determining an aspect rating corresponding to each of the aspect clusters and the corresponding aspect of the target entity based on an aggregation of the overall ratings in the portion of the plurality of comments, the aspect rating including a numerical measure showing a degree of satisfaction demonstrated in the portion of comments towards the aspect; extracting, from the portion of comments, a representative phrase corresponding of the aspects that supports or explains the aspect rating; generating an output that includes the overall ratings of the portion of comments decomposed into two or more of the aspects of the target entity, the aspects having associated therewith the representative phrases with support information that serve as indices to navigate into a set of specific comments about a particular aspect of the two or more of the aspects; and causing presentation of the generated output on a client machine, to tailor comments related to the target entity to the generated output instead of overall ratings. 12. The method of claim 9 , further comprising evaluating the aspect rating using an aspect rating correlation.