AUTOMATIC SUMMARIZATION OF EMPLOYEE PERFORMANCE

• US 20180039927A1
• Filed: 08/05/2016
• Published: 02/08/2018
• Est. Priority Date: 08/05/2016
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: HARPALE, Abhay, JOBIN, James, KASIVISWANATHAN, Shiva Prasad, TEWARI, Anuj
• Application Number:
  US15/229,721
• Publication Number:
  US 20180039927A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function

Abstract

A system, medium, and method including receiving input data relating to an employee, the input data including a plurality of sentences of descriptive language regarding the employee'"'"'s performance; processing the input data to determine sentences of refined textual data; determining a category for each of the sentences of the refined textual data from a plurality of categories, each of the plurality of categories being different from each other and relating to a particular type of performance evaluation characteristic; generating, based on the refined textual data and the determined category for the sentences of the refined textual data, a plurality of summary sentences reflective of the input data; and generating a summarization of the employee'"'"'s performance, the summarization including an ordered listing of the plurality of summary sentences.

Claims

1. A computer-implemented method of automatically summarizing employee performance, the method comprising:

receiving input data relating to an employee, the input data including a plurality of sentences of descriptive language regarding the employee'"'"'s performance;

processing the input data to determine sentences of refined textual data;

determining, from a plurality of categories, a category for each of the sentences of the refined textual data, each of the plurality of categories being different from each other and relating to a particular type of performance evaluation characteristic;

generating, based on the refined textual data and the determined category for the sentences of the refined textual data, a plurality of summary sentences reflective of the input data; and

generating a summarization of the employee'"'"'s performance, the summarization including an ordered listing of the plurality of summary sentences.

2. The method of claim 1, further comprising automatically determining, at least prior to the generating of the plurality of summary sentences, a quality evaluation of the input data.

3. The method of claim 1, wherein the input data relates to a performance of the employee, including textual input data generated by a plurality of entities.

4. The method of claim 3, wherein the plurality of entities includes at least one of the employee, a supervisor of the employee, a manager of the employee, a colleague of the employee, and a business consultant.

5. The method of claim 1, wherein the processing of the input data to determine the sentences of refined textual data comprises:

sorting textual data of the input data; and

transforming the sorted textual data into the sentences of refined textual data by pre-summarizing the textual input data.

6. The method of claim 1, wherein the plurality of categories of performance evaluation characteristics comprise, at least one or more of, a category to include contributions made by the employee, a category to include aspects to consider for improvement by the employee, and a category to include aspects the employee should continue.

7. The method of claim 1, wherein the determining of a category for each of the sentences of the refined textual data is based on a content of the sentences of the refined textual data.

8. The method of claim 7, wherein the determining of a category for each of the sentences of the refined textual data is further based on one or more keywords associated with each category, each keyword being associated with one of the plurality of categories based on historical employee performance data.

9. The method of claim 1, wherein the generating of the plurality of summary sentences includes:

determining whether each of the plurality of summary sentences are relevant to a performance review discussion; and

discarding sentences determined not to be relevant to the performance review discussion from the plurality of summary sentences.

10. The method of claim 1, wherein the generating of the summarization comprises:

determining a ranking, relative to each other, for each of the plurality of summary sentences; and

ordering the plurality of summary sentences in the ordered listing based on the determined ranking for each of the plurality of summary sentences.

11. The method of claim 1, wherein the input data further comprises metadata.

12. A system comprising:

a memory storing processor-executable instructions; and

a processor to execute the processor-executable instructions to cause the system to;

receive input data relating to an employee, the input data including a plurality of sentences of descriptive language regarding the employee'"'"'s performance;

determine, from the input data, sentences of refined textual data;

determine, from a plurality of categories, a category for each of the sentences of the refined textual data, each of the plurality of categories being different from each other and relating to a particular type of performance evaluation characteristic;

generate, based on the refined textual data and the determined category for the sentences of the refined textual data, a plurality of summary sentences reflective of the input data; and

generate a summarization of the employee'"'"'s performance, the summarization including an ordered listing of the plurality of summary sentences.

13. The system of claim 12, further comprising automatically determining, at least prior to the generating of the plurality of summary sentences, a quality evaluation of the input data.

14. The system of claim 12, wherein the input data relates to a performance of the employee, including textual input data generated by a plurality of entities.

15. The system of claim 14, wherein the plurality of entities includes at least one of the employee, a supervisor of the employee, a manager of the employee, a colleague of the employee, and a business consultant.

16. The system of claim 12, wherein the processing of the input data to determine the sentences of refined textual data comprises:

sorting textual data of the input data; and

transforming the sorted textual data into the sentences of refined textual data by pre-summarizing the textual input data.

17. The system of claim 12, wherein the plurality of categories of performance evaluation characteristics comprise, at least one or more of, a category to include contributions made by the employee, a category to include aspects to consider for improvement by the employee, and a category to include aspects the employee should continue.

18. The system of claim 12, wherein the determining of a category for each of the sentences of the refined textual data is based on a content of the sentences of the refined textual data.

19. The system of claim 18, wherein the determining of a category for each of the sentences of the refined textual data is further based on one or more keywords associated with each category, each keyword being associated with one of the plurality of categories based on historical employee performance data.

20. The system of claim 12, wherein the generating of the plurality of summary sentences includes:

determining whether each of the plurality of summary sentences are relevant to a performance review discussion; and

discarding sentences determined not to be relevant to the performance review discussion from the plurality of summary sentences.

21. The system of claim 12, wherein the generating of the summarization comprises:

determining a ranking, relative to each other, for each of the plurality of summary sentences; and

ordering the plurality of summary sentences in the ordered listing based on the determined ranking for each of the plurality of summary sentences.