METHODS AND SYSTEM FOR AUTOMATICALLY OBTAINING INFORMATION FROM A RESUME TO UPDATE AN ONLINE PROFILE

• US 20150317610A1
• Filed: 05/27/2015
• Published: 11/05/2015
• Est. Priority Date: 05/05/2014
• Status: Active Grant

• Current Assignee: Vettery, Inc. (Adecco Group AG)
• Original Assignee: ZLemma Inc (Adecco Group AG)
• Inventors: Rao, Ashwin, Bubna, Gaurav, Mehta, Zubin
• Granted Patent: US 10,331,764 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/10 Text processing natural language analysis G06F40/20; semantic analysis G06F40/30; processing or translation of natural language G06F40/40
• CPC Class Codes: G06F 40/131 Fragmentation of text files, e.g. creating reusable text-blocks; Linking to fragments, e.g. using XInclude; Namespaces
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/258 Heading extraction; Automatic titling; Numbering
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/105 Human resources
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Techniques involving accessing a resume of a person; automatically parsing the resume at least in part by: identifying, based at least in part on formatting of the resume, a plurality of sections in the resume including a first section; identifying, based at least in part on content in the first section and formatting of the content, a plurality of subsections of the first section; and processing text in the plurality of subsections to identify a plurality of credentials and associated attributes; and updating a profile for the person to reflect the plurality of credentials and the associated attributes.

Claims

1. A method comprising:

using at least one computer hardware processor to perform;

accessing a resume of a person;

automatically parsing the resume at least in part by;

identifying, based at least in part on formatting of the resume, a plurality of sections in the resume including a first section;

identifying, based at least in part on content in the first section and formatting of the content, a plurality of subsections of the first section; and

processing text in the plurality of subsections to identify a plurality of credentials and associated attributes; and

updating a profile for the person to reflect the plurality of credentials and the associated attributes.

2. The method of claim 1, wherein identifying the plurality of sections comprises identifying a plurality of section headings at least in part by:

identifying a plurality of section heading candidates; and

selecting, using at least one rule, the plurality of section headings from the plurality of section heading candidates.

3. The method of claim 2, wherein identifying the plurality of candidate section headings comprises:

identifying a first phrase in the resume as a first candidate section heading based, at least in part, on content of the phrase; and

identifying a second phrase in the resume as a second candidate section heading based, at least in part, on formatting of the first phrase.

4. The method of claim 1, wherein identifying the plurality of subsections of the first section comprises:

clustering multiple lines of text based, at least in part, on features derived from the multiple lines of text to obtain a plurality of clusters, each of the plurality of clusters comprising at least one line of text in the first section; and

identifying one of the plurality of clusters as a cluster containing beginning lines of text of multiple subsections of the first section.

5. The method of claim 4, wherein the features derived from the multiple lines of text include, for each of the multiple lines of text, at least one formatting feature and at least one content feature.

6. The method of claim 1, wherein the plurality of subsections includes a first subsection and a second subsection, wherein the first subsection includes text describing a first credential, wherein the second subsection includes text describing a second credential, and wherein processing the text in the plurality of subsections comprises:

identifying first text in the first subsection as a first attribute of the first credential; and

identifying second text in the second subsection as a second attribute of the second credential based on formatting of the first text.

7. The method of claim 1, wherein updating the profile comprises updating an online profile of the person for use with an online service and/or an online website.

8. At least one non-transitory computer-readable storage medium storing processor executable instructions that, when executed using at least one computer hardware processor, cause the at least one computer hardware processor to perform a method comprising:

accessing a resume of a person;

automatically parsing the resume at least in part by;

identifying, based at least in part on formatting of the resume, a plurality of sections in the resume including a first section;

identifying, based at least in part on content in the first section and formatting of the content, a plurality of subsections of the first section; and

processing text in the plurality of subsections to identify a plurality of credentials and associated attributes; and

updating a profile for the person to reflect the plurality of credentials and the associated attributes.

9. The at least one non-transitory computer-readable storage medium of claim 8, wherein identifying the plurality of sections comprises identifying a plurality of section headings at least in part by:

identifying a plurality of section heading candidates; and

selecting, using at least one rule, the plurality of section headings from the plurality of section heading candidates.

10. The at least one non-transitory computer-readable storage medium of claim 9, wherein identifying the plurality of candidate section headings comprises:

identifying a first phrase in the resume as a first candidate section heading based, at least in part, on content of the phrase; and

identifying a second phrase in the resume as a second candidate section heading based, at least in part, on formatting of the first phrase.

11. The at least one non-transitory computer-readable storage medium of claim 8, wherein identifying the plurality of subsections of the first section comprises:

clustering multiple lines of text based, at least in part, on features derived from the multiple lines of text to obtain a plurality of clusters, each of the plurality of clusters comprising at least one line of text in the first section; and

identifying one of the plurality of clusters as a cluster containing beginning lines of text of multiple subsections of the first section.

12. The at least one non-transitory computer-readable storage medium of claim 11, wherein the features derived from the multiple lines of text include, for each of the multiple lines of text, at least one formatting feature and at least one content feature.

13. The at least one non-transitory computer-readable storage medium of claim 8, wherein the plurality of subsections includes a first subsection and a second subsection, wherein the first subsection includes text describing a first credential, wherein the second subsection includes text describing a second credential, and wherein processing the text in the plurality of subsections comprises:

identifying first text in the first subsection as a first attribute of the first credential; and

identifying second text in the second subsection as a second attribute of the second credential based on formatting of the first text.

14. The at least one non-transitory computer-readable storage medium of claim 8, wherein updating the profile comprises updating an online profile of the person for use with an online service and/or online website.

15. A system comprising:

at least one computer hardware processor configured to perform;

accessing a resume of a person;

automatically parsing the resume at least in part by;

identifying, based at least in part on formatting of the resume, a plurality of sections in the resume including a first section;

identifying, based at least in part on content in the first section and formatting of the content, a plurality of subsections of the first section; and

processing text in the plurality of subsections to identify a plurality of credentials and associated attributes; and

updating a profile for the person to reflect the plurality of credentials and the associated attributes.

16. The system of claim 15, wherein identifying the plurality of sections comprises identifying a plurality of section headings at least in part by:

identifying a plurality of section heading candidates; and

selecting, using at least one rule, the plurality of section headings from the plurality of section heading candidates.

17. The system of claim 16, wherein identifying the plurality of candidate section headings comprises:

identifying a first phrase in the resume as a first candidate section heading based, at least in part, on content of the phrase; and

identifying a second phrase in the resume as a second candidate section heading based, at least in part, on formatting of the first phrase.

18. The system of claim 15, wherein identifying the plurality of subsections of the first section comprises:

clustering multiple lines of text based, at least in part, on features derived from the multiple lines of text to obtain a plurality of clusters, each of the plurality of clusters comprising at least one line of text in the first section; and

identifying one of the plurality of clusters as a cluster containing beginning lines of text of multiple subsections of the first section.

19. The system of claim 18, wherein the features derived from the multiple lines of text include, for each of the multiple lines of text, at least one formatting feature and at least one content feature.

20. The system of claim 15, wherein the plurality of subsections includes a first subsection and a second subsection, wherein the first subsection includes text describing a first credential, wherein the second subsection includes text describing a second credential, and wherein processing the text in the plurality of subsections comprises:

identifying first text in the first subsection as a first attribute of the first credential; and

identifying second text in the second subsection as a second attribute of the second credential based on formatting of the first text.