Level-based Resume Classification on Nursing Job Positions

In this thesis, we mainly focus on documents of real application resumes. Different from most similar works, we are not categorizing resumes into the suitable groups, for example, IT job resume, medical care job resume, teachers resume, and so on, but we will categorize application resumes on a specific level-based job position called Clinical Research Coordinator from the School of Nursing at Emory University. The job position has 4 different levels, CRC I, II, III, and IV, for applicants to apply to and we aim to write an algorithm to classify resumes into these 4 levels based on their content. Methods used are string matching, feature vectors, bags of words and ensemble models. The best model to predict the admission result of a resume reaches 66.89%.