A method, computer-readable medium, and a computer system for automatically generating sentiment data are disclosed. One or more portions of at least one document may be determined to be associated with at least one sentiment of one or more other portions of the at least one document. One or more scores associated with the at least one sentiment may be automatically determined based on at least one respective attribute of the one or more portions. The at least one respective attribute may include a positive category, a negative category, a neutral category, a degree associated with a positive sentiment, a degree associated with a negative sentiment, some combination thereof, etc. In this manner, data associated with sentiment of one or more portions of at least one document may be generated.