1. A method of a system having a processor, comprising: performing sentiment analysis of user feedback using a plurality of uncertainty rules, wherein the uncertainty rules include a first rule indicating that an attribute and an associated sentiment word or phrase within a comment follow a syntactic natural language pattern, and a second rule indicating that an attribute and an associated sentiment word or phrase within a comment do not follow the syntactic natural language pattern; determining levels of uncertainty associated with sentiment results of the sentiment analysis, wherein the sentiment results identify user sentiments contained in the user feedback, and wherein determining the levels of uncertainty comprises: assigning a lower level of uncertainty for a first of the sentiment results if the first sentiment result satisfies the first rule, and assigning a higher level of uncertainty for a second of the sentiment results if the second sentiment result satisfies the second rule; and providing at least one visualization of the sentiment results, wherein the visualization has first visual indicators to represent the respective user sentiments identified by the sentiment results, and second visual indicators associated with the first visual indicators to represent the respective levels of uncertainty associated with the corresponding user sentiments.