Aktuální požadavky na měkké dovednosti u administrativních pozic v ČR: Analýza pracovních inzerátů metodami NLP

Soft skills are becoming a key factor for success in the labour market. However, the specific demand for them in the Czech environment remains empirically underexplored. The aim of this bachelor's thesis is to identify which soft skills Czech employers demand in the administrative segment, and to verify whether their requirements align with normative frameworks (CDK/NSP, O*NET, ESCO). The analysis is based on 1,046 job advertisements from the Jobs.cz portal, processed using a hybrid detection method that combines TF-IDF ranking in the scikit-learn library with rule-based matching of 208 indicators on lemmatised text. The results reveal a homogeneous demand across Prague and the regions. However, the position-specific analysis points to a mismatch in certain roles between what employers ask for and what the frameworks prescribe. The frameworks themselves also diverge in terms of which traits they consider to be soft skills at all. The single most frequently declared trait in accounting advertisements, diligence (péčlivost, 65,3 %), is not classified as a soft skill in the CDK framework at all. The findings open a broader discussion on how soft skills are perceived by the labour market, how they are culturally defined by individual frameworks, and whether HR specialists themselves work with them systematically.