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Talent Acquisition

<p>Resume parser and candidate scoring Tool: This is a parser tool that parses candidate's resume to extract relevant candidate information, store in a table and then also computes a comprehensive fit score based on skill alignment, experience, education, and semantic similarity. Outputs a top k number of candidates along with their structured profile and multi-metric compatibility score for each candidate with respect to a given description.</p><p>Inputs:</p><ol><li><p>A table that contains candidate details from their resume data and also the job description data fetched from the documents uploaded by the user. This tool accepts a table with&nbsp;two columns named "Content" and "Content (#1)" and both are of string type.</p></li><li><p>This table contains weight input from the user for various scores and also the number of candidates they want as output. This accepts a table with 8 columns named, "Skill overlap percentage", "Resume-Job Description similarity", "Job Title similarity", "Experience Match", "Education Match", "Overall Preferred skills and qualification match", "Overall Required skills and qualification match", and "Top K Candidates". The&nbsp; "Top K Candidates" is of integer type and the rest of them are float.</p></li></ol>

Resume parser and candidate scoring Tool: This is a parser tool that parses candidate's resume to extract relevant candidate information, store in a table and then also computes a comprehensive fit score based on skill alignment, experience, education, and semantic similarity. Outputs a top k number of candidates along with their structured profile and multi-metric compatibility score for each candidate with respect to a given description.

Inputs:

  1. A table that contains candidate details from their resume data and also the job description data fetched from the documents uploaded by the user. This tool accepts a table with two columns named "Content" and "Content (#1)" and both are of string type.

  2. This table contains weight input from the user for various scores and also the number of candidates they want as output. This accepts a table with 8 columns named, "Skill overlap percentage", "Resume-Job Description similarity", "Job Title similarity", "Experience Match", "Education Match", "Overall Preferred skills and qualification match", "Overall Required skills and qualification match", and "Top K Candidates". The  "Top K Candidates" is of integer type and the rest of them are float.

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: debasmita.ray
Created at: 2025-07-22
On NodePit since: 2025-07-30
Last update: 2025-07-31
Created with KNIME version: v5.5.0

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