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Text Analysis of Resumes and Lexical Choice as an Indicator of Creativity

EasyChair Preprint no. 847

11 pagesDate: March 20, 2019

Abstract

Contemporary human resources departments use text analysis of resumes to determine whether job applicants are suited for certain positions. We computed a similarity measurement function to compare resumes of applicants of varying education levels in different job categories. A high correlation was found with trust, cognition and positive emotions. We showed that standardized templates are often designed by applicants to elicit positive emotions about their job candidacy and to suggest greater trust and cognitive abilities. Nevertheless, these measurements have a negative correlation with education level. The implication is that applicants that use standardized templates for writing resumes have lower levels of creativity.

Keyphrases: creativity, pattern, Resume, semantic distance, Sentiment Analysis, similarity, text analysis

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:847,
  author = {Alexander Rybalov},
  title = {Text Analysis of Resumes and Lexical Choice as an Indicator of Creativity},
  howpublished = {EasyChair Preprint no. 847},

  year = {EasyChair, 2019}}
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