Automatisk jobbmatchning
Publicerad
Författare
Typ
Examensarbete på grundnivå
Program
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
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Sammanfattning
In order to facilitate the workflow of recruiters who work daily with finding suitable assignments
for their consultants, a system was created that can automatically match these consultants against
different job listings. Creating such a system was a complex task since job listings often consist of
unstructured text which is difficult to interpret for a computer. To deal with this problem, Natural
Language Processing was applied, which is a methodology for managing unstructured text using
artificial intelligence and various algorithms. The completed system delivered several positive results,
in addition to these some misleading ones were also produced. The system’s results are recommended
to be used as guidelines to pursue for a recruiter when a suitable candidate is to be selected for an
assignment. There is much room for development to improve the system’s reliability and to reduce
the likelihood of misleading results.
Beskrivning
Ämne/nyckelord
NLP, Computational Linguistics, Job Matching