How Adequate is your CV? Analyzing French CVs with ReaderBench

Gabriel Gutu, Mihai Dascalu, Stefan Trausan-Matu, Olivier Lepoivre

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

This study is aimed at presenting a new ReaderBench-based tool built to support candidates in increasing the quality of their CV for a job opening. Both the visual quality and the textual content are considered while also providing an overview and corresponding feedback for the entire CV. The presented CV analysis tool uses advanced Natural Language Processing techniques to interpret and understand the content from written texts, while also considering their visual traits. The study was performed on a collection of more than 50 CVs that were manually annotated as positive or negative in terms of their visual and content-oriented aspects. A statistical analysis based on more than 400 textual indices was performed on the training corpora in order to extract the traits that define a good commercial CV. The results enabled us to build an online tool accessible on our website that provides recommendations for CVs written in French language.
Original languageEnglish
Title of host publication2017 21st International Conference on Control Systems and Computer Science (CSCS)
EditorsIoan Dumitrache, Adina Magda Florea , Florin Pop, Alexandru Dumitrașcu
Place of PublicationBucharest
PublisherIEEE
Pages559-565
Number of pages7
DOIs
Publication statusPublished - 7 Jul 2017
Externally publishedYes
Event21st Int. Conf. on Control Systems and Computer Science (CSCS21) - Bucharest, Romania
Duration: 29 May 201731 May 2017
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7963998
https://cscs21.hpc.pub.ro/

Publication series

Name
PublisherIEEE
ISSN (Electronic)2379-0482

Conference

Conference21st Int. Conf. on Control Systems and Computer Science (CSCS21)
Abbreviated titleCSCS21
CountryRomania
CityBucharest
Period29/05/1731/05/17
Internet address

Fingerprint

Websites
Statistical methods
Feedback
Processing

Keywords

  • CV analysis
  • text cohesion
  • semantic relatedness
  • textual complexity
  • natural language processing

Cite this

Gutu, G., Dascalu, M., Trausan-Matu, S., & Lepoivre, O. (2017). How Adequate is your CV? Analyzing French CVs with ReaderBench. In I. Dumitrache, A. M. Florea , F. Pop, & A. Dumitrașcu (Eds.), 2017 21st International Conference on Control Systems and Computer Science (CSCS) (pp. 559-565). Bucharest: IEEE. https://doi.org/10.1109/CSCS.2017.85
Gutu, Gabriel ; Dascalu, Mihai ; Trausan-Matu, Stefan ; Lepoivre, Olivier. / How Adequate is your CV? Analyzing French CVs with ReaderBench. 2017 21st International Conference on Control Systems and Computer Science (CSCS). editor / Ioan Dumitrache ; Adina Magda Florea ; Florin Pop ; Alexandru Dumitrașcu. Bucharest : IEEE, 2017. pp. 559-565
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title = "How Adequate is your CV? Analyzing French CVs with ReaderBench",
abstract = "This study is aimed at presenting a new ReaderBench-based tool built to support candidates in increasing the quality of their CV for a job opening. Both the visual quality and the textual content are considered while also providing an overview and corresponding feedback for the entire CV. The presented CV analysis tool uses advanced Natural Language Processing techniques to interpret and understand the content from written texts, while also considering their visual traits. The study was performed on a collection of more than 50 CVs that were manually annotated as positive or negative in terms of their visual and content-oriented aspects. A statistical analysis based on more than 400 textual indices was performed on the training corpora in order to extract the traits that define a good commercial CV. The results enabled us to build an online tool accessible on our website that provides recommendations for CVs written in French language.",
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Gutu, G, Dascalu, M, Trausan-Matu, S & Lepoivre, O 2017, How Adequate is your CV? Analyzing French CVs with ReaderBench. in I Dumitrache, AM Florea , F Pop & A Dumitrașcu (eds), 2017 21st International Conference on Control Systems and Computer Science (CSCS). IEEE, Bucharest, pp. 559-565, 21st Int. Conf. on Control Systems and Computer Science (CSCS21), Bucharest, Romania, 29/05/17. https://doi.org/10.1109/CSCS.2017.85

How Adequate is your CV? Analyzing French CVs with ReaderBench. / Gutu, Gabriel; Dascalu, Mihai; Trausan-Matu, Stefan; Lepoivre, Olivier.

2017 21st International Conference on Control Systems and Computer Science (CSCS). ed. / Ioan Dumitrache; Adina Magda Florea ; Florin Pop; Alexandru Dumitrașcu. Bucharest : IEEE, 2017. p. 559-565.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

TY - GEN

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AB - This study is aimed at presenting a new ReaderBench-based tool built to support candidates in increasing the quality of their CV for a job opening. Both the visual quality and the textual content are considered while also providing an overview and corresponding feedback for the entire CV. The presented CV analysis tool uses advanced Natural Language Processing techniques to interpret and understand the content from written texts, while also considering their visual traits. The study was performed on a collection of more than 50 CVs that were manually annotated as positive or negative in terms of their visual and content-oriented aspects. A statistical analysis based on more than 400 textual indices was performed on the training corpora in order to extract the traits that define a good commercial CV. The results enabled us to build an online tool accessible on our website that provides recommendations for CVs written in French language.

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Gutu G, Dascalu M, Trausan-Matu S, Lepoivre O. How Adequate is your CV? Analyzing French CVs with ReaderBench. In Dumitrache I, Florea AM, Pop F, Dumitrașcu A, editors, 2017 21st International Conference on Control Systems and Computer Science (CSCS). Bucharest: IEEE. 2017. p. 559-565 https://doi.org/10.1109/CSCS.2017.85