Processing and visualization of textual data based on syntactic dependency trees and sentiment scoring

A method, comprising:

• receiving, by a computing system, textual news data via a communications network from a plurality of data sources;
• constructing, by the computing system, a message comprising the received textual news data;
• parsing, by the computing system, the constructed message;
• generating, by the computing system, a plurality of syntactic dependency trees according to the parsed message;
• determining, by the computing system, a sentiment score for the parsed message corresponding to a word or phrase associated with the parsed message according to the generated plurality of syntactic dependency trees;
• generating, by the computing system, an image comprising the determined sentiment score;
• and
• displaying, via a graphical user interface (GUI), the determined sentiment score.

A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that, when executed by a processor of a computing device the processor performs a method comprising the following operations:

• receiving textual news data via a communications network from a plurality of data sources;
• constructing a message comprising the received textual news data;
• parsing the constructed message;
• generating a plurality of syntactic dependency trees according to the parsed message;
• determining a sentiment score for the parsed message corresponding to a word or phrase associated with the parsed message according to the generated plurality of syntactic dependency trees;
• generating an image comprising the determined sentiment score;
• and
• displaying, via a graphical user interface (GUI), the determined sentiment score.