We now have a Parser Feature with TextKernel, enhancing the resume uploading and data extraction process. Below is a comprehensive overview of this feature and its functionalities:
1. Introduction to the TextKernel Parser Feature
- Purpose: Facilitates the automatic extraction and mapping of resume data to internal system fields, streamlining the profile creation process for users.
- Recommendation: It is advised to use the TextKernel option over other parser options available.
2. Enabling and Configuring the Parser
- Accessing the Feature:
- Navigate to Parser Settings: Search for “parser” in the settings page to view available options.
- Select TextKernel: Choose the TextKernel parser from the list of available options.
- Mapping Fields:
- Available Fields: The parser provides multiple fields that can be mapped to the platform’s internal fields.
- Examples of Mappings:
- Skills: Map to a custom field designated for skills.
- Phone Numbers: Map to the internal phone number field.
- Address Details: Include city, state, country, and postcode.
- Languages: Map to the languages field.
- Years of Experience: Map to the relevant experience field.
- Summary: Can be mapped to the introduction field (optional).
- Job Title: If using LinkedIn integration, leave the job title mapping blank to utilize LinkedIn data.
- Customization Preferences:
- Introduction Field: Preference to use the introduction from LinkedIn; therefore, the platform’s introduction field can be left blank.
- Job Title: Similarly, prefer to use LinkedIn for job titles by leaving the platform’s job title field blank.
3. Uploading and Parsing Resumes
- Uploading Process:
- User Action: Users can upload their resumes through their profiles.
- Parser Activation: Upon uploading, the TextKernel parser processes the resume, extracting relevant information.
- Parsing Workflow:
- Resume Processing: The parser scans the resume for data points such as work experience, skills, education, and contact information.
- LinkedIn Integration: If a LinkedIn URL is detected in the resume and LinkedIn importing is enabled, the parser retrieves additional information from LinkedIn.
- Automatic Refresh:
- Data Update: After parsing, the profile refreshes automatically to display the extracted information. If not, users can manually refresh the page.
4. Demonstration of Parsed Data
- Extracted Information Includes:
- Profile Image: Pulled from the LinkedIn URL found in the resume.
- Job Description: Extracted from the resume.
- Job Title: Imported from LinkedIn.
- Introduction: Sourced from LinkedIn.
- Skills and Languages: Identified from the resume.
- Location Details: City, state, country, and postcode.
- Years of Experience: Calculated based on the work history provided.
- Job Functions and Industry: Categorized from the resume data.
- Educational Background: Degrees and institutions attended.
- Work Experience: Detailed employment history.
- Testimonials: Pulled from LinkedIn endorsements or recommendations.
5. Benefits of the TextKernel Parser Feature
- Efficiency: Automates the extraction of resume data, reducing manual entry and saving time for users.
- Accuracy: Enhances data accuracy by leveraging advanced parsing technology and LinkedIn integration.
- Comprehensive Data Capture: Captures a wide range of data points, including multimedia elements like profile images and testimonials.
- Customization: Allows administrators to map extracted data to specific internal fields, tailoring the data integration to organizational needs.
- Enhanced User Profiles: Creates detailed and enriched user profiles by combining resume data with LinkedIn information.
6. Customization and Flexibility
- Field Mapping: Administrators can adjust which resume fields map to internal system fields based on specific requirements.
- LinkedIn Integration: Flexibility to utilize LinkedIn data for enhanced profile information or rely solely on resume data as needed.
7. Conclusion and Support
- Summary: The TextKernel Parser Feature significantly improves the resume uploading process by automating data extraction and integration with LinkedIn, resulting in more comprehensive and accurate user profiles.
- Support: Users and administrators are encouraged to reach out for any questions or assistance in utilizing the TextKernel parser effectively.
This Parser Feature with TextKernel empowers the platform to offer a more streamlined and efficient experience for users uploading resumes, ensuring that profiles are rich with accurate and relevant information.