System for generating data from social media messages for the real-time evaluation of publicly traded assets

Abstract

A system for generating data from social media messages for the real-time evaluation of publicly traded assets includes an ingest component for ingesting the social media messages and a filter module eliminating expressions not considered useful language from social media messages and configuring input social media message into useful formats to form filtered social media messages. The system also includes a language processor processing the filtered social media messages based upon lexical databases to form filter and processed social media messages. The system further includes a sentiment calculator applying rules to the filtered and processed social media messages so as to compute a representation of sentiment values associated with the social media messages. A graphical user interface displaying the sentiment values is also provided.

1 . A computer implemented system for generating data from social media message of limited 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 limited characters;   a filter module of the computer eliminating expressions not considered useful language from social media messages of limited characters and configuring input social media messages of limited characters into useful formats to form filtered social media messages of limited characters;   a language processor of the computer processing the filtered social media messages of limited characters based upon lexical databases to form filtered and syntactically processed social media messages of limited characters, wherein the language processor includes a stock-based lexical repository composed of lexical items used in the ingested social media messages of limited characters, 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 syntactically processed social media messages of limited characters so as to compute a representation of sentiment values associated with the social media messages of limited characters as they relate to the publicly traded equities or commodities, wherein any missing constituents of the social media messages of limited characters are recovered and inserted in their appropriate syntactic position based upon rules applied in a syntactic-semantic analysis of pairs of the lexical items in the local syntactic context of all of the constituents of the messages of limited characters including head-complement, modifier-modified, subject-predicate contexts; and   a computer monitor having a graphical user interface displaying the sentiment values derived via the sentiment calculator as they relate to the publicly traded equities or commodities.