System and method of textual information analytics

A method of creating a text analytics and decision support matrix by analyzing and deriving analytical insights from a given textual information database using a textual information processor, said textual information processor performing the steps of:

• conducting information structuration for deriving information structure types, wherein said information structure types enable classification of said information structure into dense text and non-dense text;
• deriving phrase chunks through shallow text parsing, wherein the step of shallow text parsing further comprises parts of speech tagging of said dense text and the application of said information structure types;
• conducting cyclical processing for deriving a plurality of textual aspects from said derived phrase chunks, comprising:
• deriving structured textual aspects, wherein said derived structured textual aspects communicate meaning unambiguously and are context independent;
• deriving unstructured textual aspects, wherein said derived unstructured structural aspects are one or both of context dependent and domain dependent;
• and
• deriving binding textual aspects, wherein said binding textual aspects bind together either the textual aspects with each other or the textual aspects with textual relations;
• constructing relationship maps connecting said structured, unstructured and binding textual aspects;
• determining a plurality of tags for defining relationship between said structured, unstructured, and binding textual aspects, wherein said determined tags comprise one or more space tags, one or more time tags, and one or more action tags;
• disambiguating relationship between said structured, unstructured, and binding textual aspects using one or more qualifiers, one or more relation elements, and one or more of said determined tags;
• ranking textual aspects using said relationship maps;
• and
• creating said text analytics and decision support matrix using the relevancy ranked textual aspects.