13. A system method for improving the usability of product feedback data comprising: one or more processors; one or more non-transitory storage mediums; program instructions stored within the non-transistor storage mediums, wherein the one or more processors execute the program instructions causing a machine to: receive a plurality of product feedback search parameters by an intelligent product feedback analytics tool, wherein said plurality of product feedback search parameters pertain to at least one of a product and a group of products; perform a search on plurality of product feedback data sources using the product feedback search parameters to gather product feedback; obtain a plurality of product feedback search results applicable to the plurality of product feedback search parameters, wherein each product feedback search result comprises at least one of a rating value upon a rating scale and feedback content in a textual format; for each product represented in the obtained plurality of product feedback search results, synthesize a composite rating value for each rating category of the rating scale defined for the intelligent product feedback analytics tool from rating values contained in product feedback search results that are applicable to the product, wherein synthesizing the composite rating comprises: converting the rating value for each product feedback search result to an equivalent rating value with respect to the rating scale defined for the intelligent product feedback analytics tool; assigning each product feedback search result to a rating category of the rating scale defined for the intelligent product feedback analytics tool, wherein the converted rating value of a product feedback search result falls within a rating value range defined for the rating category to which it is assigned; and expressing a quantity of product feedback search results assigned to each rating category as a percentage of a total quantity of product feedback search results that are applicable to the product; for each product represented in the obtained plurality of product feedback search results, analyze the plurality of product feedback search results for at least one analytic parameter, wherein each analytic parameter represents a commonality among a subset of the product feedback search results that are applicable to the product, wherein said analysis utilizes natural language processing techniques; and present the plurality of product feedback search results, composite rating values, and the at least one analytic parameter in an organized manner within a user interface, wherein the at least one analytic parameter presented provides a context for the corresponding composite rating value.
13. A system method for improving the usability of product feedback data comprising: one or more processors; one or more non-transitory storage mediums; program instructions stored within the non-transistor storage mediums, wherein the one or more processors execute the program instructions causing a machine to: receive a plurality of product feedback search parameters by an intelligent product feedback analytics tool, wherein said plurality of product feedback search parameters pertain to at least one of a product and a group of products; perform a search on plurality of product feedback data sources using the product feedback search parameters to gather product feedback; obtain a plurality of product feedback search results applicable to the plurality of product feedback search parameters, wherein each product feedback search result comprises at least one of a rating value upon a rating scale and feedback content in a textual format; for each product represented in the obtained plurality of product feedback search results, synthesize a composite rating value for each rating category of the rating scale defined for the intelligent product feedback analytics tool from rating values contained in product feedback search results that are applicable to the product, wherein synthesizing the composite rating comprises: converting the rating value for each product feedback search result to an equivalent rating value with respect to the rating scale defined for the intelligent product feedback analytics tool; assigning each product feedback search result to a rating category of the rating scale defined for the intelligent product feedback analytics tool, wherein the converted rating value of a product feedback search result falls within a rating value range defined for the rating category to which it is assigned; and expressing a quantity of product feedback search results assigned to each rating category as a percentage of a total quantity of product feedback search results that are applicable to the product; for each product represented in the obtained plurality of product feedback search results, analyze the plurality of product feedback search results for at least one analytic parameter, wherein each analytic parameter represents a commonality among a subset of the product feedback search results that are applicable to the product, wherein said analysis utilizes natural language processing techniques; and present the plurality of product feedback search results, composite rating values, and the at least one analytic parameter in an organized manner within a user interface, wherein the at least one analytic parameter presented provides a context for the corresponding composite rating value. 20. The system of claim 13 , wherein the one or more processors execute the program instructions further causing a machine to: analyze of the plurality of product feedback search results by: upon completion of the analysis of a product feedback search result, storing the analyzed product feedback search result in an analytic search results library, wherein the analytic search results library is a knowledgebase of product feedback search results previously processed by the intelligent product feedback analytics tool.