The process of reviewing resumes takes time. The unstructured written language can be
understood and parsed by natural language processing and machine learning, which can …

A resume is a detailed source of information about the candidate which summarizes the
personal details, education, career history, project experience, certifications, trainings …

Organizations are now more skill-driven due to global competition and environmental
volatility. As a result, finding the right talent for the needed position has been less important …

In this paper, we propose a method for resume rating using Latent Dirichlet Allocation (LDA)
and entity detection with SpaCy. The proposed method first extracts relevant entities such as …

Resume information extraction technologies are crucial for automating the shortlisting and
evaluation of resumes, benefiting both enterprises and job seekers. Resume block …

In the early stages of a recruitment process, recruiters can spend a lot of time analyzing
resumes (CVs) manually. This has led to the development of machine learning methods for …

Extracting information from r\'esum\'es is typically formulated as a two-stage problem, where
the document is first segmented into sections and then each section is processed …

Human resource practices, particularly teacher recruitment, are evolving due to
digitalisation. There is a critical need for international schools to attract and select quality …

The rapid digitization of the economy is transforming the job market, creating new roles and
reshaping existing ones. As skill requirements evolve, identifying essential competencies …

A resume, in general, is a commonly and widely used way for a person to present their
competence and qualifications. It is usually written in different personalized methods in a …