PYTHON FOR TEXT ANALYTICS
Cover Letter Screening With Python
Analyzing Candidates Cover Letter for Jobs Openings
Introduction
Writing a strong cover letter is not a trivial task. It could either boost your application and make you more interesting for recruiters and hiring managers or disqualify you from the process. People spend a significant amount of time writing and formatting the perfect cover letter hoping it to be read by a talent acquisition professional and, eventually, help them land a job interview. Unfortunately, not all cover letters are actually ever seen by a human eye.
Due to the high number of applicants and resumes with cover letters submissions to job postings, manual resumes screening processes become tedious, ineffective and time consuming for talent acquisition professionals. Therefore, standardized automated screening methods are necessary to categorize qualified from unqualified candidates based on their background, education and professional experience faster, with more efficiency and more accurate results to streamline hiring processes.
Text Mining in Screening Programs
Text mining, along with natural language processing algorithms and artificial intelligence, can be applied for the…
