8. A method, comprising: obtaining a set of text, wherein the set of text includes user-generated content; determining, for the set of text, a numerical value for each of a plurality of objects, the numerical value indicating a likelihood that the corresponding one of the plurality of objects could have generated the set of text, the plurality of objects each representing a corresponding one of a plurality of entities; identifying one of the plurality of objects that, if the set of text were generated from one of the objects, is most likely to have generated the set of text based, at least in part, upon the numerical value that has been determined for each of the plurality of objects, wherein the identified one of the plurality of objects indicates the one of the plurality of entities that is most likely to be a primary subject of the set of text; associating the set of text with the identified one of the plurality of objects such that a plurality of sets of text associated with the identified one of the plurality of objects includes the set of text; and aggregating information from at least a portion of the plurality of sets of text.
8. A method, comprising: obtaining a set of text, wherein the set of text includes user-generated content; determining, for the set of text, a numerical value for each of a plurality of objects, the numerical value indicating a likelihood that the corresponding one of the plurality of objects could have generated the set of text, the plurality of objects each representing a corresponding one of a plurality of entities; identifying one of the plurality of objects that, if the set of text were generated from one of the objects, is most likely to have generated the set of text based, at least in part, upon the numerical value that has been determined for each of the plurality of objects, wherein the identified one of the plurality of objects indicates the one of the plurality of entities that is most likely to be a primary subject of the set of text; associating the set of text with the identified one of the plurality of objects such that a plurality of sets of text associated with the identified one of the plurality of objects includes the set of text; and aggregating information from at least a portion of the plurality of sets of text. 12. The method as recited in claim 8 , wherein each of the plurality of objects has a set of one or more parameters including an attribute translation parameter indicating a probability that a translation of a word from the corresponding one of a set of attributes is present in the set of text.