System and methodology for assessing and predicting linguistic and non-linguistic events and for providing decision support

• US 9,361,290 B2
• Filed: 01/18/2014
• Issued: 06/07/2016
• Est. Priority Date: 01/18/2014
• Status: Expired due to Fees

• Current Assignee: Christopher Bayan Bruss, Pouya Johnathon Ehsani
• Original Assignee: Christopher Bayan Bruss, Pouya Johnathon Ehsani
• Inventors: Bruss, Christopher Bayan, Ehsani, Pouya Johnathon
• Primary Examiner(s): Riley, Marcus T
• Application Number:
  US14/158,822
• Publication Number:
  US 20150205787A1
• Time in Patent Office: 871 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 40/242 Dictionaries
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

According to one aspect of the present invention, a system and methodology is provided which provides valuable risk assessment and warnings as well as predictions of possible events which may occur in corporate, governmental, business or other types of organizational settings. In a personal context, the present invention may provide valuable data regarding predicted personal behavior, events, activities as well as data regarding affinity or lack thereof between and among individuals as well as a great many other characteristics of inter-personal relationships.

Claims

1. A decision support and assessment system comprising:

one or more processors configured to execute computer program modules, the computer program modules comprising;

a dictionary creation module configured to obtain source linguistic data and create a dictionary based upon said source linguistic data, said source linguistic data comprising a plurality of terms linked to psychological concepts and wherein said source linguistic data is generated through a use of one or more of questionnaires, interviews or focus groups;

a dictionary refinement module configured to obtain functional data and refine said dictionary based upon said functional data; and

a predictive assessment module configured to employ said dictionary and said functional data and apply at least one model thereto in order to generate predictive data configured to provide decision support or assessment.

2. The decision support and assessment system of claim 1 further comprising a dictionary data storage component for storing said dictionary.

3. The decision support and assessment system of claim 1 wherein said predictive data is communicated to a user terminal for display.

4. The decision support and assessment system of claim 1 wherein said functional data is generated post-deployment after such time as said system has been implemented to generate said predictive data.

5. The decision support and assessment system of claim 1 wherein said source linguistic data is generated through a use of a web-based questionnaire.

6. The decision support and assessment system of claim 1 wherein said dictionary creation module is further configured to remove terms from said dictionary based upon an association of said terms with specific events or situations.

7. The decision support and assessment system of claim 1 wherein said dictionary refinement module is further configured to remove terms from said dictionary based upon the association of said terms with specific events or situations.

8. The decision support and assessment system of claim 1 wherein said dictionary is generated based upon a term-by-document matrix indicative of a number of occurrences for each term in at least one document and wherein said dictionary includes only terms with a minimum number of occurrences.

9. The decision support and assessment system of claim 1 wherein said predictive assessment module is configured to process said functional data against said dictionary by predicting one or more linguistic outcomes.

10. The decision support and assessment system of claim 1 wherein said predictive assessment module is configured to process said functional data against said dictionary by predicting one or more non-linguistic outcomes.

11. A computer-implemented method for providing decision support and assessment, the method being implemented in a computer system that includes one or more physical processors and storage media storing machine-readable instructions, the method comprising:

obtaining a source linguistic dataset;

generating an initial dictionary based upon said source linguistic dataset said source linguistic dataset comprising a plurality of terms linked to psychological concepts and wherein said source linguistic dataset is generated through a use of one or more of questionnaires, interviews or focus groups;

employing functional data, said initial dictionary and at least one model to generate a predictive output configured to provide decision support or assessment; and

refining said initial dictionary based upon a receipt of additional source linguistic data.

12. The method of claim 11 further comprising employing said functional data, said refined initial dictionary and said at least one model to generate additional predictive output.

13. The method of claim 11 wherein said refining said initial dictionary comprises additive processing.

14. The method of claim 11 wherein said refining said initial dictionary comprises reductive processing.

15. The method of claim 11 wherein said generating an initial dictionary further comprises removing stop words.

16. The method of claim 11 wherein said predictive output comprises predicting at least one linguistic outcome.

17. The method of claim 11 wherein said predictive output comprises predicting at least one non-linguistic outcome.

18. The method of claim 12 wherein said predictive output comprises predicting at least one linguistic outcome.

19. The method of claim 12 wherein said predictive output comprises predicting at least one non-linguistic outcome.

20. The method of claim 11 wherein said at least one model comprises a parametric model.

21. The method of claim 11 wherein said at least one model comprises a nonparametric model.