kcvparser performance¶
Objective:¶
As part of parsing resume uploaded by end users in HRMS application, KPAI team is going to develop NLP rule based application in GATE tool. For this work we need to have some manually annotated resumes (at least 3000 documents) to develop expected performance application.
Annotation Types¶
As per current requirements from HRMS team, we are expecting following annotation types should be done by manual annotators.
- Personal Information
- Education Details
- Work Experience
- Skill Set
- Certifications
- Others
1. Personal Information Section¶
| Annotation Type | Description | Features |
|---|---|---|
| Name | Name of the resume holder | initials, first name, middle name, last name |
| DOB | Date of birth of the resume holder | NA |
| Gender | Gender of the resume holder | NA |
| EmailId | Email Id of the resume holder | NA |
| MobileNumber | Mobile Number of the resume holder | NA |
| Address | Address of the resume holder | addressline1, addressline2, street, city, state, country, postal code |
2. Education Details Section¶
| Annotation Type | Description | Features |
|---|---|---|
| Course | Course name ex: IT, CSE etc.. | NA |
| CourseLevel | Graduation Type ex: B.Tech, Masters etc | NA |
| EducationMode | Course completion mode ex: Regular, Distance etc | NA |
| StartDate | Course Start Date | NA |
| EndDate | Course End Date | NA |
| InstituteName | Name of the Institute | NA |
| University | Name of the University | NA |
| Percentage (GPA) | Percentage/GPA obtained in the course | NA |
| Description | Text area under this heading from resume | NA |
3. Work Experience Section¶
| Annotation Type | Description | Features |
|---|---|---|
| Employer | Organization name | NA |
| Designation | Designation of the employee | NA |
| StartDate | Work experience start date | NA |
| EndDate | Work experience end date | NA |
| Description | Text area under this heading from resume | NA |
4. Skill Set Section¶
| Annotation Type | Description | Features |
|---|---|---|
| SkillName | Name of the employee skills | NA |
| Description | Text area under this heading from resume | NA |
5. Certifications Section¶
| Annotation Type | Description | Features |
|---|---|---|
| CertificationName | Names of the employee certifications | NA |
6. Other Annotation Types¶
| Annotation Type | Description | Features |
|---|---|---|
| Heading | Names of different resume headings Ex: Work Experience, Technical Skills etc | NA |
Note: At present those are planned at my end, please review and suggest if any other section required from resume
Results from kcvparser¶
After developing rules (by observing more than hundred resumes)for parsing the resume to get our desired annotations ,kcvparser has achieved an accuracy of 79 percentage (as of now) when compared to manually annotated resumes(sample of twenty resumes are taken for comparison)
Note
This analysis is done purely based on Indian resumes in specific to software related resumes
we achieved an overall average precision of 87%
overall average recall of 83%
Finally Overall average fMeasure : 79%