Projects per year
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.
|Title of host publication||2017 21st International Conference on Control Systems and Computer Science (CSCS)|
|Editors||Ioan Dumitrache, Adina Magda Florea , Florin Pop, Alexandru Dumitrașcu|
|Place of Publication||Bucharest|
|Number of pages||7|
|Publication status||Published - 7 Jul 2017|
|Event||21st Int. Conf. on Control Systems and Computer Science (CSCS21) - Bucharest, Romania|
Duration: 29 May 2017 → 31 May 2017
|Conference||21st Int. Conf. on Control Systems and Computer Science (CSCS21)|
|Period||29/05/17 → 31/05/17|
- CV analysis
- text cohesion
- semantic relatedness
- textual complexity
- natural language processing
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Rage: Realising an Applied Gaming Eco-system
Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.
1/02/15 → 31/07/19