6. A method of identifying different opinions in network content, the method comprising: generating opinion data regarding a plurality of content pages retrieved from a plurality of content sources, wherein opinion data regarding each content page reflects an opinion in the content page regarding a topic of the content page, and wherein opinion data regarding each content page further reflects a classification of the opinion as one of a positive opinion, a neutral opinion, or a negative opinion regarding the topic of the content page; providing, to a client computing device, a first content page reflecting a first opinion regarding a first topic, wherein the client computing device presents the first content page with a first option to access a content page associated with an opinion regarding the first topic differing in classification from the first opinion; receiving, from the client computing device, data corresponding to activation of the first option; identifying, based at least partly on the opinion data, one or more content pages associated with opinions regarding the first topic, the opinions differing in classification, as one of a positive opinion, a neutral opinion, or a negative opinion, from a classification of the first opinion; providing, to the client computing device, a second content page of the one or more content pages, the second content page associated with a second opinion differing in classification from the first opinion, wherein the client computing device presents a second option to submit feedback regarding at least one of the first opinion or the second opinion; and using the feedback to classify at least one of the first opinion or the second opinion; said method performed in its entirety by a computing system that comprises one or more computing devices.
6. A method of identifying different opinions in network content, the method comprising: generating opinion data regarding a plurality of content pages retrieved from a plurality of content sources, wherein opinion data regarding each content page reflects an opinion in the content page regarding a topic of the content page, and wherein opinion data regarding each content page further reflects a classification of the opinion as one of a positive opinion, a neutral opinion, or a negative opinion regarding the topic of the content page; providing, to a client computing device, a first content page reflecting a first opinion regarding a first topic, wherein the client computing device presents the first content page with a first option to access a content page associated with an opinion regarding the first topic differing in classification from the first opinion; receiving, from the client computing device, data corresponding to activation of the first option; identifying, based at least partly on the opinion data, one or more content pages associated with opinions regarding the first topic, the opinions differing in classification, as one of a positive opinion, a neutral opinion, or a negative opinion, from a classification of the first opinion; providing, to the client computing device, a second content page of the one or more content pages, the second content page associated with a second opinion differing in classification from the first opinion, wherein the client computing device presents a second option to submit feedback regarding at least one of the first opinion or the second opinion; and using the feedback to classify at least one of the first opinion or the second opinion; said method performed in its entirety by a computing system that comprises one or more computing devices. 12. The method of claim 6 , wherein generating opinion data for a content page comprises processing the content page using at least one of: a sentiment analysis algorithm or a natural language processing algorithm.