Abstract: Systems and methods may be used for analyzing customer sentiment of one or more products or processes. Plain-text data may be acquired from a variety of sources (e.g., one or more websites) and analyzed to determine sentiment regarding one or more aspects of the product or process. The acquired plain text data may be broken into one or more phrase features that include sentiment information regarding an attribute associated with a product or an entity associated with a process. The phrase features can be individually analyzed to determine the sentiment for each of the attributes or entities. Sentiment information for each attribute or entity can be presented in an organized view allowing for easy and detailed sentiment analysis for various attributes or entities associated with a product or process. Sentiment for additional products or processes with common attributes or entities may be predicted using the analyzed plain text data.