Level-based Resume Classification on Nursing Job Positions Público

Abstract

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%.

Table of Contents

1 Introduction 1

2 Background 4

2.1 Resume Classification (Job Category Classification) . . . . . . 4

2.2 Resume Classification (Level-based Position Classification) . . 5

2.3 DatasetUniqueness........................ 5

3 Dataset 7 

3.1 DatasetStatistics......................... 8

3.2 Annotation ............................ 9

3.3 FormatConversion(DOCX)................... 10

3.4 SectionExtraction(DOCX) ................... 10

3.5 FormatConversion(PDF) .................... 11

3.6 SectionExtraction(PDF) .................... 12

3.7 ExtractionAccuracy ....................... 12

3.8 PreprocessedDataset....................... 12

4 Approach 14

4.1 StringMatching.......................... 15

4.2 FeatureVector .......................... 18

4.3 BagsofWords........................... 19

4.4 EnsembleModels ......................... 21

5 Experiments 23

5.1 DataSplit............................. 23

5.2 Results............................... 24

5.3 ErrorAnalysis........................... 35

6 Conclusion 37

Appendix A - Complete Result 39

About this Honors Thesis

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School	Emory College
Department	Mathematics and Computer Science
Degree	B.S.
Submission	Honors Thesis
Language	English
Research Field	Computer Science
Palavra-chave	Feature Vector Bags of Words Data Mining String Matching
Committee Chair / Thesis Advisor	Choi, Jinho, Emory University
Committee Members	Ettinger, Bree, Emory University Xi, Yuanzhe, Emory University

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