Opinions about a topic are extracted from a corpus of text documents. Opinions are extracted based on rules defining regular expressions for parts-of-speech tags. Opinions are grouped based on their semantic orientation as favorable, unfavorable or neutral. A balanced and accurate assessment of sentiment towards a topic can thus be determined.