Text-Mining in Dokumenten für Businessanalysen
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Date
2024
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Abstract
The name datadive has evolved from the vision of diving deep into a pile of data to
provide clear statistics and analyses. The aim of the application is not only to present
a clear list of all applicants, thus, to make the work of the recruitment manager easier,
but also to enable analyses of these applicants' data using statistics. This means that
through these statistics, for example, it can be determined from which industry the
applicants come, or whether they have a degree from a university or a higher school,
etc. Comparisons of applicants to the previous years can also be made.
The source for the applicant data is the CV. The CVs are PDF files that are read in by
a program. A certain scheme is used to filter out the initial data, such as soft and hard
skills or previous employment or education and so on. This data is then stored in a
database.
On a graphical user web interface, the information from the database is finally
displayed. The user can now filter, sort, etc. this information. Statistics based on this
data are created on a separate page.
As a result, the recruitment manager saves time by not having to manually review and
read through the many different resumes and can quickly identify suitable candidates
through the filtering function. Furthermore, there is a simple overview of what career
paths or genders, and much more, the applicants have in common on average. In
addition, the company can easily determine how the number of applicants has
increased or decreased compared to previous years.