Abstract: A content intelligence module may implement a sentiment analysis method to identify words or phrases from user-generated content that are associated with a particular sentiment. The method may comprise grouping or splitting text into different sentiment segments, tokenizing words or phrases and/or removing stopwords across the sentiment segments, performing a frequency analysis to count the words or phrases in each sentiment segment, scaling the frequency results across the sentiment segments where necessary, and removing commonly used words from the sentiment segments. The words or phrases that are left in a specific sentiment segment are the most-used words for that sentiment segment. The word cloud module therefore allows for very quick generation of a summary around sentiment segments. A sentiment overview containing the summary can be presented to a user in connection with a selected product or service with which the user-generated content is associated.