CEU Electronic Theses and Dissertations, 2022
| Author | Konya, Viktoria |
|---|---|
| Title | Research on the Demand for IT Jobs in Hungary - Data Monitoring and Textual Analysis |
| Summary | The aim of this research project was to build a data pipeline that allows for the monitoring and the trend analysis of the demand for professionals in the IT job market in Hungary. In order to do this, a scraper was built that collects publicly available job data from 7 Hungarian job search websites on a daily basis. The open job listings from the employment websites then were used as a proxy of the demand for IT professionals. The analytical challenge that I worked on was rooted in the fact that the dataset contained job postings from multiple IT fields starting from Software Engineers to Business Analysts. In order to quantify the demand for certain roles, the heterogenous job listings needed to be grouped into less granular job categories with similar roles. As the scraped job titles were messy, no reliable labels were available in the dataset. Because of this I used unsupervised learning technique (Topic modelling) for trying to organize the individual job postings into less granular job categories. |
| Supervisor | Máté Attila Tóth |
| Department | Economics MSc |
| Full text | https://www.etd.ceu.edu/2022/konya_viktoria.pdf |
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