Method and System for Presenting Statistical Data in a Natural Language Format

• US 20150095015A1
• Filed: 09/27/2013
• Published: 04/02/2015
• Est. Priority Date: 09/27/2013
• Status: Abandoned Application

• Current Assignee: Intellectus Statistics LLC
• Original Assignee: Statistics Solutions, LLC
• Inventors: Lani, James A., Moran, Melissa
• Application Number:
  US14/040,029
• Publication Number:
  US 20150095015A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06F 40/106 Display of layout of documents; Previewing
• CPC Class Codes: G06F 40/174 Form filling; Merging
• CPC Class Codes: G06F 40/216 using statistical methods
• CPC Class Codes: G06F 40/56 Natural language generation

Abstract

A computer-implemented method for presenting statistical analysis in a natural language textual output comprising: receiving data to be analyzed by the processor; processing the data according to at least one of a plurality of pre-established statistical analysis types, thereby providing processed data; interpreting the processed data by converting the processed data to a pre-determined natural language text, thereby providing interpreted data; and generating a natural language textual output for the interpreted data according to at least one pre-established rule for converting the interpreted data to a natural language textual output.

Claims

1. A computer-implemented method for presenting statistical analysis findings in a natural language textual output, the computer-implemented method employing a processor and comprising:

providing pre-established plain language descriptive text;

providing a plurality of pre-established statistical analysis types, wherein the analysis types include at least one of inferential statistical analyses, non-parametric analysis, data mining analyses (association rules, neural networks, generalized additive models, classification and regression trees, predictive models, CHAID models, cluster analyses, data reduction, classification models), supervised and unsupervised models, time series models, structural equation models, medical informatics, bioinformatics, and fraud detection models;

selecting at least one of the plurality of pre-established statistical analysis types;

aligning the at least one of the plurality of pre-established statistical analysis types with at least a portion of the pre-established plain language descriptive text;

receiving data to be analyzed by the processor, wherein the data comprises at least one of numerals and parameters;

organizing the data to permit the data to be analyzed in accordance with the selected pre-established statistical analysis type, thereby providing organized data;

processing the organized data according to the selected pre-established statistical analysis type, wherein the processing is performed by a statistical analysis tool for providing processed data;

interpreting the processed data by converting the processed data to a pre-determined natural language text, thereby providing interpreted data;

generating a natural language textual output for the interpreted data according to at least one pre-established rule, the at least one pre-established rule comprising merging at least a portion of the pre-established plain language descriptive text with the natural language text, wherein the output further comprises at least one graphic display, and wherein the graphic display is selected from the group consisting of a table, a chart, and a graph; and

providing the natural language textual output in a computer file, wherein a computer displays the computer file.

2. A computer-implemented method for presenting statistical analysis in a natural language textual output, the computer-implemented method employing a processor and comprising:

receiving data to be analyzed by the processor;

processing the data according to at least one of a plurality of pre-established statistical analysis types, thereby providing processed data;

interpreting the processed data by converting the processed data to a pre-determined natural language text, thereby providing interpreted data; and

generating a natural language textual output for the interpreted data according to at least one pre-established rule for converting the interpreted data to a natural language textual output.

3. The method according to claim 2, further comprising providing pre-established plain language descriptive text and aligning at least one of a plurality of statistical analysis types with at least a portion of the pre-established plain language descriptive text.

4. The method according to claim 3, wherein the plurality of pre-established statistical analysis types include at least one of inferential statistical analyses, non-parametric analysis, data mining analyses (association rules, neural networks, generalized additive models, classification and regression trees, predictive models, CHAID models, cluster analyses, data reduction, classification models), supervised and unsupervised models, time series models, structural equation models, medical informatics, bioinformatics, and fraud detection models.

5. The method according to claim 4, further comprising selecting at least one of the plurality of pre-established statistical analysis types.

6. The method according to claim 2, wherein the data further comprises at least one of numerals and parameters.

7. The method according to claim 6, wherein the data comprises economic data.

8. The method according to claim 6, wherein the data comprises business data.

9. The method according to claim 2, further comprising organizing the data to permit the data to be analyzed in accordance with the at least one of a plurality of pre-established statistical analysis types, thereby providing organized data.

10. The method according to claim 9, further comprising processing the organized data according to the at least one of a plurality of statistical analysis types.

11. The method according to claim 2, wherein the processing is performed by a statistical analysis tool for providing processed data.

12. The method according to claim 3, wherein the at least one pre-established rule further comprises merging at least a portion of the pre-established plain language descriptive text with the pre-determined natural language text.

13. The method according to claim 2, wherein the natural language textual output further comprises at least one graphic display.

14. The method according to claim 13, wherein the at least one graphic display is selected from the group consisting of a table, a chart, and a graph.

15. The method according to claim 2, further comprising providing the natural language textual output in a computer file.

16. The method according to claim 15, wherein a computer displays the computer file.

17. The method according to claim 2, wherein the method functions in a real time mode.

18. A system for presenting statistical analysis in a natural language textual output, the system comprising:

a statistics analysis engine implemented to run on a processor;

an interpretation engine implemented to run on a processor; and

a formatting engine implemented to run on a processor,

wherein the statics engine processes data to be processed and provides the processed data to the interpretation engine, the interpretation engine configured to convert the processed data into interpreted data, the interpreted data being provided to the formatting engine wherein the formatting engine is configured to generate natural language textual output for the interpreted data.

19. The system of claim 18, wherein the statistics engine is a statistical analysis tool.

20. The system of claim 18, wherein the statistics analysis engine, interpretation engine, and formatting engine communicate with each other over a network.