GraphRank Pro+: Advancing Talent Analytics Through Knowledge Graphs and Sentiment-Enhanced Skill Profiling
Journal:
arXiv
Published Date:
Feb 25, 2025
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.
