1. A computer implemented system for generating data from social media messages of at most 140 characters for the real-time evaluation of publicly traded equities or commodities, comprising: an ingest component in the form of a computer for ingesting social media messages of at most 140 characters: a filter module of the computer eliminating expressions not considered useful language from social media messages and configuring input social media messages into useful formats to form filtered social media messages, wherein the filter module eliminates URLs and hash tags from the social media messages; a language processor of the computer processing the filtered social media messages based upon lexical databases to form filtered and processed social media messages, wherein the language processor includes a stock-based lexical repository composed of lexical items used in the ingested social media messages, as well as lexical items used in stock exchange and financial news wire, wherein the lexical items of the stock-based lexical repository are associated with specific polarity and strength values; a sentiment calculator of the computer applying rules based upon the association of the lexical items of the stock-based lexical repository with specific polarity and strength values to the filtered and processed social media messages so as to compute a representation of sentiment values associated with the social media messages as they relate to the publicly traded equities or commodities, wherein the rules are applied in head-complement, modifier-modified, and subject- predicate relations to pairs of the lexical items in their local syntactic context based upon the specific polarity and strength value of the lexical items; and a computer monitor having a graphical user interface displaying the sentiment values as they relate to the publicly traded equities or commodities, wherein the publicly traded equities or commodities are represented as graphic objects which change in size and color to depict sentiment as a function of intensity and polarity.
1. A computer implemented system for generating data from social media messages of at most 140 characters for the real-time evaluation of publicly traded equities or commodities, comprising: an ingest component in the form of a computer for ingesting social media messages of at most 140 characters: a filter module of the computer eliminating expressions not considered useful language from social media messages and configuring input social media messages into useful formats to form filtered social media messages, wherein the filter module eliminates URLs and hash tags from the social media messages; a language processor of the computer processing the filtered social media messages based upon lexical databases to form filtered and processed social media messages, wherein the language processor includes a stock-based lexical repository composed of lexical items used in the ingested social media messages, as well as lexical items used in stock exchange and financial news wire, wherein the lexical items of the stock-based lexical repository are associated with specific polarity and strength values; a sentiment calculator of the computer applying rules based upon the association of the lexical items of the stock-based lexical repository with specific polarity and strength values to the filtered and processed social media messages so as to compute a representation of sentiment values associated with the social media messages as they relate to the publicly traded equities or commodities, wherein the rules are applied in head-complement, modifier-modified, and subject- predicate relations to pairs of the lexical items in their local syntactic context based upon the specific polarity and strength value of the lexical items; and a computer monitor having a graphical user interface displaying the sentiment values as they relate to the publicly traded equities or commodities, wherein the publicly traded equities or commodities are represented as graphic objects which change in size and color to depict sentiment as a function of intensity and polarity. 12. The computer implemented system according to claim 1 , wherein the polarity values are positive, negative and neutral.