CV Skill Keyword Detection with Term Indexer

<p>This use case demonstrates how exorbyte's <strong>M|Box Term Indexing Nodes</strong> can be combined for <strong>keyword-based CV skill detection</strong>.</p><p>Workflow Overview:</p><ol><li><p>The workflow loads</p><ul><li><p>A table containing skill keywords (e.g. "PowerBI", "Python", "pandas")</p></li><li><p>PDFs of applicants' CVs, which are parsed into text fields</p></li></ul></li><li><p>Preprocessing:</p><ul><li><p>The CVs' text is split into paragraphs (based on line breaks)</p></li><li><p>English stopwords are removed</p></li></ul></li><li><p>Indexing &amp; Matching:</p><ul><li><p>The <strong>Term Indexer</strong> builds an index out of the skill keywords.</p></li><li><p>The <strong>Term Index Matcher</strong> efficiently and fault-tolerantly detects the keywords in the CV sections.</p></li></ul></li><li><p>Postprocessing:</p><ul><li><p>The postprocessing returns a table containing the CV-IDs, and the skills that do and do not appear in each document.</p></li></ul></li></ol><p>The <strong>M|Box Term Indexer and Term Index Matcher </strong>nodes enable fast, scalable keyword detection through a deterministic index-based approach, delivering consistent, explainable results without the unpredictability of AI-based matching. This makes it well-suited for compliance-sensitive or auditable pipelines.</p>