Textkernel Parsing

You are here:

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.

Was this article helpful?
Dislike