1. A computer-implemented method for analyzing a collection of content for sentiment data, comprising: executing a first relationship query against the content in the collection to determine and extract from the content a plurality of relationships between entities, each extracted relationship specifying a subject, an action, and an object and exhibiting positive sentiment for an entity that is a source of positive sentiment towards an entity that is a subject of the positive sentiment, wherein a relationship with positive sentiment is extracted from the content as a result of executing the first relationship query when the action of the relationship with positive sentiment matches at least one of a plurality of identified positive verbs and when negative phrases that match a negative phrase list are not found within a first determined number of sentences; executing a second relationship query against the content in the collection to determine and extract from the content a plurality of relationships between entities, each extracted relationship specifying a subject, an action, and an object and exhibiting negative sentiment for an entity that is a source of negative sentiment towards an entity that is a subject of the negative sentiment, wherein a relationship with negative sentiment is extracted from the content as a result of executing the second relationship query when the action of the relationship with negative sentiment matches at least one of a plurality of identified negative verbs and when positive phrases that match a positive phrase list are not found within a second determined number of sentences; wherein the first and second relationship queries are specified using a natural language query mechanism that uses syntactic and semantic analysis of the content to recognize and understand relationships expressed between entities in the content and wherein each query specifies a subject, an action, and an object related to the subject through the action; determining a percentage of the determined and extracted relationships exhibiting positive sentiment to a total of determined and extracted relationships exhibiting either positive or negative sentiment; determining a percentage of the determined and extracted relationships exhibiting negative sentiment to a total of determined and extracted relationships exhibiting either positive or negative sentiment; and presenting on a display device, a user interface that indicates the percentage of the determined and extracted relationships exhibiting positive sentiment and the relationships exhibiting negative sentiment for the entity that is the source of sentiment towards the entity that is the subject of the sentiment, in conjunction with presenting, for each extracted relationship, indications of the entity that is the source of sentiment and the entity that is the subject of the sentiment.
1. A computer-implemented method for analyzing a collection of content for sentiment data, comprising: executing a first relationship query against the content in the collection to determine and extract from the content a plurality of relationships between entities, each extracted relationship specifying a subject, an action, and an object and exhibiting positive sentiment for an entity that is a source of positive sentiment towards an entity that is a subject of the positive sentiment, wherein a relationship with positive sentiment is extracted from the content as a result of executing the first relationship query when the action of the relationship with positive sentiment matches at least one of a plurality of identified positive verbs and when negative phrases that match a negative phrase list are not found within a first determined number of sentences; executing a second relationship query against the content in the collection to determine and extract from the content a plurality of relationships between entities, each extracted relationship specifying a subject, an action, and an object and exhibiting negative sentiment for an entity that is a source of negative sentiment towards an entity that is a subject of the negative sentiment, wherein a relationship with negative sentiment is extracted from the content as a result of executing the second relationship query when the action of the relationship with negative sentiment matches at least one of a plurality of identified negative verbs and when positive phrases that match a positive phrase list are not found within a second determined number of sentences; wherein the first and second relationship queries are specified using a natural language query mechanism that uses syntactic and semantic analysis of the content to recognize and understand relationships expressed between entities in the content and wherein each query specifies a subject, an action, and an object related to the subject through the action; determining a percentage of the determined and extracted relationships exhibiting positive sentiment to a total of determined and extracted relationships exhibiting either positive or negative sentiment; determining a percentage of the determined and extracted relationships exhibiting negative sentiment to a total of determined and extracted relationships exhibiting either positive or negative sentiment; and presenting on a display device, a user interface that indicates the percentage of the determined and extracted relationships exhibiting positive sentiment and the relationships exhibiting negative sentiment for the entity that is the source of sentiment towards the entity that is the subject of the sentiment, in conjunction with presenting, for each extracted relationship, indications of the entity that is the source of sentiment and the entity that is the subject of the sentiment. 3. The method of claim 1 , wherein the subject of the positive sentiment or negative sentiment is a facet or a topic.