GraphRank Pro+: Advancing Talent Analytics Through Knowledge Graphs and Sentiment-Enhanced Skill Profiling

TL;DR

GraphRank Pro+ introduces a novel framework combining knowledge graphs, NLP, and deep learning to enhance talent analytics through precise skill profiling and advanced querying capabilities.

Contribution

It presents an innovative approach that transforms semi-structured resumes into knowledge graphs for improved talent analysis and personalized filtering.

Findings

Effective extraction of skills from resumes.

Enhanced querying and ranking of talent profiles.

Improved support for recruiters and job seekers.

Abstract

The extraction of information from semi-structured text, such as resumes, has long been a challenge due to the diverse formatting styles and subjective content organization. Conventional solutions rely on specialized logic tailored for specific use cases. However, we propose a revolutionary approach leveraging structured Graphs, Natural Language Processing (NLP), and Deep Learning. By abstracting intricate logic into Graph structures, we transform raw data into a comprehensive Knowledge Graph. This innovative framework enables precise information extraction and sophisticated querying. We systematically construct dictionaries assigning skill weights, paving the way for nuanced talent analysis. Our system not only benefits job recruiters and curriculum designers but also empowers job seekers with targeted query-based filtering and ranking capabilities.