Subjective linguistic analysis

• US 8,972,424 B2
• Filed: 11/09/2012
• Issued: 03/03/2015
• Est. Priority Date: 05/29/2009
• Status: Active Grant

• Current Assignee: Peter Snell
• Original Assignee: Peter Snell
• Inventors: Snell, Peter
• Primary Examiner(s): Ly, Cheyne D
• Application Number:
  US13/672,988
• Publication Number:
  US 20130108996A1
• Time in Patent Office: 844 Days
• Field of Search: 707/755, 707/769, 715/255, 704/4, 704/7, 704/251
• US Class Current: 707/755
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

A system and related method for the electronic processing of text onto a two-dimensional coordinate system to analyze the attitudinal mindset associated with the text. The system and related method may also be employed to generate text based on a desired attitudinal mindset to impart. The system includes a computer system embodying functions that enable a user to analyze the text. The system includes one or more functions to parse attitudinal words and objective words and associate two-dimensional coordinates with the subjective words. The system further includes one or more functions for mapping the associated two-dimensional coordinates to show the geographic locations of each attitudinal word of the text in relation to each other attitudinal word of the text. The system decomposes attitudinal words into attitudinal equivalence and reference category and enables the generation of a report of the mindset associated with the analyzed text.

Claims

1. A computer-implemented method of processing text to analyze the underlying subconscious mindset associated with that text, the computer-implemented method using a computer system having (i) a plurality of computer-implemented functions, and (ii) one or more databases, the computer-implemented method comprising the steps of:

a) executing a word parsing function and a word filtering function of the computer system that

(i) parses words of the text into objective words and subjective words; and

(ii) stores the parsed subjective words of the text in the one or more databases;

b) executing a word analysis function of the computer system that;

(i) compares the parsed subjective words with registered subjective words preloaded in the one or more databases, wherein the registered subjective words include substantially all subjective words and are assigned two-dimensional coordinate values based on expectation of change associated with one of the two dimensions and perception of control associated with the other of the two dimensions, wherein expectation of change reflects a range from expectation that a situation should be different to expectation that a situation should remain the same and wherein perception of control reflects a range from lack of control of a situation to perceived control of a situation;

(ii) associates two-dimensional coordinates with each of the subjective words of the text as a result of the comparison with the registered subjective words; and

(iii) stores the associated two-dimensional coordinates for the subjective words of the text in the one or more databases; and

c) executing a mapping function of the computer system using the two-dimensional coordinates that creates a map showing geographic locations of one or more subjective words of the text in relation to one or more other subjective words of the text, wherein collocated mapping points of two or more subjective words constitute attitudinal equivalence of those two or more subjective words.

2. The computer-implemented method of claim 1 further comprising the step of executing an output selection function of the computer system that enables a user to select from a menu of multivariate distributions from the map of subjective words.

3. The computer-implemented method of claim 2 wherein the multivariate distributions are selected from the group consisting of, but not limited to, quadrant demographics, corridor demographics, major triangle demographics, frequency, intensity, and average distance.

4. The computer-implemented method of claim 1 further comprising the step of executing an output selection function of the computer system that enables the user to display a map of chronologically connected points of the subjective words of the text and to compute the average distance between sequential subjective words, as a percentage of quadrant width.

5. The computer-implemented method of claim 1 further comprising the step of executing a report generation function of the computer system that creates a report interpretive of the text based on the map created by the mapping function.

6. The computer-implemented method of claim 1 wherein the two-dimensional coordinates are Cartesian coordinates.

7. The computer-implemented method of claim 6 further comprising the step of executing the word analysis function of the computer system to convert the Cartesian coordinates associated with the registered subjective words into polar coordinates prior to executing the mapping function.

8. The computer-implemented method of claim 1 wherein the registered subjective words of the one or more databases comprise substantially all tenses and singular and plural forms, thereof.