## 4 Results
### Jobs Advertisement Requirements Cluster Analysis for Demand Understanding
Such results show that this method does have limitations when the obtained skills are more difficult to interpret. In this case, it was noticeable that we are talking about knowing the German language in the case of the \"German\" skill. At the same time, \"Cat\" describes job advertisements related to animal care. Applying these advanced techniques in clustering and natural language processing has allowed the efficient and accurate extraction of salient job-related skill sets, which can be used to better understand and categorize various roles within different industries, and which could thereby facilitate improved job matching and skill development opportunities for both employers and job seekers. Two distinct approaches can be employed to automatically generate job profiles using the data acquired through clustering and natural language processing techniques: expert evaluation and profiling, or automated profiling with the assistance of generative artificial intelligence (AI). The following table (see Table 3) offers detailed information regarding the synthesized job profile descriptions based on the previously extracted keywords. These synthesized job descriptions were created using the GPT-4 API version that used the prompt \"Generate job profile based on the keywords listed: [profile keywords]\". Upon examination, it was apparent that the job profiles were accurately and comprehensively portrayed, capturing not only the primary attributes of the job profiles but also elaborating on the associated information. Utilizing generative AI, these job descriptions can be further expanded and refined, providing a more in-depth understanding of the roles and responsibilities involved in each profile. This approach of combining expert evaluation and profiling, along with generative AI, has the potential to yield highly accurate and detailed job profiles that can better facilitate matching candidates to relevant job opportunities and inform career development and training programs. Additionally, these synthesized job profile descriptions can serve as a valuable resource for human resources professionals, recruiters, and job seekers, enabling them to better understand the various positions available across different industries and the corresponding skill sets required for success in those roles. For full results of the generated profiles see Appendix B Table 11.  
The analysis of job profiles and the identification of relevant skills not only involves the instantaneous recognition of specific profiles, but also entails examining the temporal dynamics of these profiles. The graph below illustrates the fluctuations in demand for profile 3 over time (see Figure 5). A significant surge in demand for workers possessing  
Figure 4: Requirements for extracted profile 2 (finance/accounting specialist) and profile 3 (programmer). these particular skills was observed at the beginning of 2022. However, following the outbreak of the war in Ukraine in March 2022, the demand for these specialists sharply declined. By November 2022, there was no noticeable increase in the worker requirement within this profile. A modest uptick in demand for these professionals has been observed since November 2022, and the need for workers with these skills has been anticipated to grow, with the recent upward trend in the latest available data supporting this projection. The utility of this data lies in its capacity to inform various stakeholders, such as employers, job seekers, and policymakers, about the shifting demand for particular skill sets in the job market. By understanding these fluctuations, stakeholders can make informed decisions about workforce development, investment in training programs, and recruitment strategies that align with the evolving needs of the industry. Furthermore, this temporal analysis provides valuable insights into the potential impact of external factors, such as geopolitical events and on-demand for specific job profiles, enabling more adaptive and resilient planning for the future.