1. A computer-implemented method for generating a snippet for an entity, wherein each snippet comprises a plurality of sentiments about the entity, the method comprising: selecting one or more textual reviews associated with the entity; identifying a plurality of sentiment phrases based on the one or more textual reviews, wherein each sentiment phrase comprises a sentiment about the entity; selecting one or more sentiment phrases from the plurality of sentiment phrases; generating a snippet based on the selected one or more sentiment phrases; and storing the snippet.
1. A computer-implemented method for generating a snippet for an entity, wherein each snippet comprises a plurality of sentiments about the entity, the method comprising: selecting one or more textual reviews associated with the entity; identifying a plurality of sentiment phrases based on the one or more textual reviews, wherein each sentiment phrase comprises a sentiment about the entity; selecting one or more sentiment phrases from the plurality of sentiment phrases; generating a snippet based on the selected one or more sentiment phrases; and storing the snippet. 10. The method of claim 1 , wherein the sentiment phrases are comprised of a plurality of tokens and selecting one or more sentiment phrases comprises: generating a redundancy metric, wherein each redundancy metric is based on a number of tokens shared between two sentiment phrases; and selecting one or more sentiment phrases based on the redundancy metric.