1. A computer-implemented method of analyzing opinions in a text document, said method comprising: using a computer, establishing a predetermined set of regular expressions, each regular expression of said predetermined set of regular expressions corresponding to a specific parts-of-speech (POS) tag sequence; using said computer, inputting and parsing said text document to provide a plurality of POS tag sequences; using said computer, matching said predetermined set of regular expressions to said plurality of POS tag sequences from said text document to provide one or more extracted opinions; using said computer, lexically analyzing each word of said one or more extracted opinions to group said one or more extracted opinions into clusters of extracted opinions; and any of: using said computer, marking said one or more extracted opinions in said text document with classification tags, wherein said classification tags correspond to said clusters of extracted opinions; and using said computer, graphically displaying said clusters of extracted opinions, wherein said graphically displaying comprises any of: displaying relative proportions of said extracted opinions in said clusters of extracted opinions; and displaying said clusters of extracted opinions using a chart.
1. A computer-implemented method of analyzing opinions in a text document, said method comprising: using a computer, establishing a predetermined set of regular expressions, each regular expression of said predetermined set of regular expressions corresponding to a specific parts-of-speech (POS) tag sequence; using said computer, inputting and parsing said text document to provide a plurality of POS tag sequences; using said computer, matching said predetermined set of regular expressions to said plurality of POS tag sequences from said text document to provide one or more extracted opinions; using said computer, lexically analyzing each word of said one or more extracted opinions to group said one or more extracted opinions into clusters of extracted opinions; and any of: using said computer, marking said one or more extracted opinions in said text document with classification tags, wherein said classification tags correspond to said clusters of extracted opinions; and using said computer, graphically displaying said clusters of extracted opinions, wherein said graphically displaying comprises any of: displaying relative proportions of said extracted opinions in said clusters of extracted opinions; and displaying said clusters of extracted opinions using a chart. 5. The method of claim 1 , wherein said lexically analyzing each word of said one or more extracted opinions comprises accessing a natural language database to group said one or more extracted opinions into said clusters of extracted opinions.