Automated document analysis comprising company name recognition

• US 10,255,270 B2
• Filed: 08/27/2016
• Issued: 04/09/2019
• Est. Priority Date: 08/28/2015
• Status: Active Grant

• Current Assignee: Freedom Solutions Group, LLC
• Original Assignee: Freedom Solutions Group, LLC
• Inventors: Cook, David A., Jachowicz, Andrzej H., Jones, Phillip Karl
• Primary Examiner(s): Riley, Marcus T
• Application Number:
  US15/249,374
• Publication Number:
  US 20170060836A1
• Time in Patent Office: 955 Days
• Field of Search: None
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 40/106 Display of layout of documents; Previewing
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/247 Thesauruses; Synonyms
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking
• CPC Class Codes: G06F 40/295 Named entity recognition
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30

Abstract

At least two processing device-implemented company name recognition components, operating upon a body of text in a document, identify at least one company name occurrence in the body of text based at least in part on a company identifier list. The company name recognition techniques implemented by each of the at least two company name recognition components are different from each other. The at least one company name occurrence is used to update the company identifier list. The updated company identifier list is then used by the at least two company name recognition components to identify at least one additional name occurrence in the same body of text. This process of repeatedly identifying occurrences of company names in the body of text and updating the company identifier list is performed until such time that no further company name occurrences are identified in the body of text.

Claims

1. A method for performing, by at least one processing device, automated document analysis of a document comprising a body of text, the method comprising:

identifying, by at least two company name recognition components implemented by the at least one processing device and based at least in part on a company identifier list, at least one company name occurrence in the body of text, wherein each of the at least two company name recognition components implements a company name recognition technique different from techniques implemented by others of the at least two company name recognition components;

updating, by the at least one processing device, the identified companies name list based on the at least one company name occurrence to provide an updated company identifier list; and

subsequent to updating the company identifier list, identifying, by the at least two company name recognition components and based on the updated company identifier list, at least one additional company name occurrence in the body of text.

2. The method of claim 1, wherein a company name recognition component of the at least two company name recognition components implements a company name recognition technique based on matching portions of the body of text with company names in the company identifier list.

3. The method of claim 1, wherein a company name recognition component of the at least two company name recognition components implements a company name recognition technique based on identifying portions of the body of text preceding and indicative of a company name.

4. The method of claim 1, wherein a company name recognition component of the at least two company name recognition components implements a company name recognition technique based on identifying portions of the body of text following and indicative of a company name.

5. The method of claim 1, wherein the at least two company name recognition components comprise a first company name recognition component, a second company name recognition component and a third company name recognition component, the first company name recognition component implementing a first company name recognition technique based on matching portions of the body of text with company names in the company identifier list, the second company name recognition component implementing a second company name recognition technique based on identifying portions of the body of text preceding and indicative of a company name and the third company name recognition component implementing a company name recognition technique based on identifying portions of the body of text following and indicative of a company name, and wherein identifying the at least one company name occurrence further comprises performing in order the first company name recognition technique followed by the second company name recognition technique followed by the third company name recognition technique.

6. The method of claim 1, wherein updating the identified companies name list futher comprises adding the at least one company name occurrence to the company identifier list.

7. The method of claim 1, wherein updating the company identifier list further comprises:

determining shortened forms of the at least one company name occurrence to provide at least one shortened company name; and

adding the at least one shortened company name to the company identifier list.

8. The method of claim 1, further comprising:

excluding, by the at least one processing device, any of the at least one company name occurrence or the at least one additional company name occurrence matching a company name included in an excluded company name list.

9. The method of claim 1, further comprising:

generating, by the at least one processing device, a user interface including a representation of the at least one company name occurrence or the at least one additional company name occurrence.

10. The method of claim 9, wherein generating the user interface further comprises displaying at least a portion of the body of text and providing indicia indicating instances of the at least one company name occurrence or the at least one additional company name occurrence within the portion of the body of the text.

11. The method of claim 1, further comprising repeating the method of claim 1 on the body of text until no additional company name occurrences are identified in the body of text.

12. An apparatus comprising

at least one processing device;

and

memory operatively connected to the at least one processing device, the memory comprising executable instructions that when executed by the at least one processing device cause the at least one processing device to;

identify, by at least two company name recognition techniques and based at least in part on a company identifier list, at least one company name occurrence in a body of text, wherein each of the at least two company name recognition techniques are different from each other;

update the identified companies name list based on the at least one company name occurrence to provide an updated company identifier list; and

subsequent to updating the company identifier list, identify, by the at least two company name recognition techniques and based on the updated company identifier list, at least one additional company name occurrence in the body of text.

13. The apparatus of claim 12, wherein those executable instructions operative to implement the at least two company name recognition techniques are further operative to implement a company name recognition technique based on matching portions of the body of text with company names in the company identifier list.

14. The apparatus of claim 12, wherein those executable instructions operative to implement the at least two company name recognition techniques are further operative to implement a company name recognition technique based on identifying portions of the body of text preceding and indicative of a company name.

15. The apparatus of claim 12, wherein those executable instructions operative to implement the at least two company name recognition techniques are further operative to implement a company name recognition technique based on identifying portions of the body of text following and indicative of a company name.

16. The apparatus of claim 12, wherein those executable instructions operative to implement the at least two company name recognition techniques are further operative to implement a first company name recognition technique, a second company name recognition technique and a third company name recognition technique, wherein the first company name recognition technique matches portions of the body of text with company names in the company identifier list, the second company name recognition technique identifies portions of the body of text preceding and indicative of a company name and the third company name recognition technique identifies portions of the body of text following and indicative of a company name, and wherein those executable instructions operative to identify the at least one company name occurrence are further operative to perform in order the first company name recognition technique followed by the second company name recognition technique followed by the third company name recognition technique.

17. The apparatus of claim 12, wherein those executable instructions operative to update the identified companies name list are further operative to add the at least one company name occurrence to the company identifier list.

18. The apparatus of claim 12, wherein those executable instructions operative to update the company identifier list further comprise executable instructions that, when executed by the at least one processing device, cause the at least one processing device to:

determine shortened forms of the at least one company name occurrence to provide at least one shortened company name; and

add the at least one shortened company name to the company identifier list.

19. The apparatus of claim 12, further comprising executable instructions that, when executed by the at least one processing device, cause the at least one processing device to:

exclude any of the at least one company name occurrence or the at least one additional company name occurrence matching a company name included in an excluded company name list.

20. The apparatus of claim 12, further comprising executable instructions that, when executed by the at least one processing device, cause the at least one processing device to:

generate a user interface including a representation of the at least one company name occurrence or the at least one additional company name occurrence.

21. The apparatus of claim 20, wherein those executable instructions operative to generate the user interface further comprise executable instructions that, when executed by the at least one processing device, cause the at least one processing device to display at least a portion of the body of text and provide indicia indicating instances of the at least one company name occurrence or the at least one additional company name occurrence within the portion of the body of the text.

22. The apparatus of claim 12, further comprising executable instructions that, when executed by the at least one processing device, cause the at least one processing device to repeat the processing of claim 12 on the body of text until no additional company name occurrences are identified in the body of text.

23. A non-transitory computer readable medium comprising executable instructions that when executed by at least one processing device cause the at least one processing device to perform automated document analysis of a document comprising a body of text in which the at least one processing device is caused to:

identify, by at least two company name recognition techniques and based at least in part on a company identifier list, at least one company name occurrence in the body of text, wherein each of the at least two company name recognition techniques are different from each other;

update the identified companies name list based on the at least one company name occurrence to provide an updated company identifier list; and

subsequent to updating the company identifier list, identify, by the at least two company name recognition techniques and based on the updated company identifier list, at least one additional company name occurrence in the body of text.

24. The non-transitory computer readable medium of claim 23, wherein those executable instructions operative to implement the at least two company name recognition techniques are further operative to implement a company name recognition technique based on matching portions of the body of text with company names in the company identifier list.

25. The non-transitory computer readable medium of claim 23, wherein those executable instructions operative to implement the at least two company name recognition techniques are further operative to implement a company name recognition technique based on identifying portions of the body of text preceding and indicative of a company name.

26. The non-transitory computer readable medium of claim 23, wherein those executable instructions operative to implement the at least two company name recognition techniques are further operative to implement a company name recognition technique based on identifying portions of the body of text following and indicative of a company name.

27. The non-transitory computer readable medium of claim 23, wherein those executable instructions operative to implement it the at least two company name recognition techniques are further operative to implement a first company name recognition technique, a second company name recognition technique and a third company name recognition technique, wherein the first company name recognition technique matches portions of the body of text with company names in the company identifier list, the second company name recognition technique identifies portions of the body of text preceding and indicative of a company name and the third company name recognition technique identifies portions of the body of text following and indicative of a company name, and wherein those executable instructions operative to identify the at least one company name occurrence are further operative to perform in order the first company name recognition technique followed by the second company name recognition technique followed by the third company name recognition technique.

28. The non-transitory computer readable medium of claim 23, wherein those executable instructions operative to update the identified companies name list are further operative to add the at least one company name occurrence to the company identifier list.

29. The non-transitory computer readable medium of claim 23, wherein those executable instructions operative to update the company identifier list further comprise executable instructions that, when executed by the at least one processing device, cause the at least one processing device to:

determine shortened forms of the at least one company name occurrence to provide at least one shortened company name; and

add the at least one shortened company name to the identified companies name list.

30. The non-transitory computer readable medium of claim 23, further comprising executable instructions that, when executed by the at least one processing device, cause the at least one processing device to:

exclude any of the at least one company name occurrence or the at least one additional company name occurrence matching a company name included in an excluded company name list.

31. The non-transitory computer readable medium of claim 23, further comprising executable instructions that, when executed by the at least one processing device, cause the at least one processing device to:

generate a user interface including a representation of the at least one company name occurrence or the at least one additional company name occurrence.

32. The non-transitory computer readable medium of claim 31, wherein those executable instructions operative to generate the user interface further comprise executable instructions that, when executed by the at least one processing device, cause the at least one processing device to display at least a portion of the body of text and provide indicia indicating instances of the at least one company name occurrence or the at least one additional company name occurrence within the portion of the body of the text.

33. The non-transitory computer-readable medium of claim 23, further comprising executable instructions that, when executed by the at least one processing device cause the at least one processing device to repeat the processing of claim 23 on the body of text until no additional company name occurrences are identified in the body of text.