This study investigates the semantic alignment between Airbnb property descriptions and guest reviews. Word2Vec embeddings and affinity propagation clustering are used to identify granular semantic concepts, enabling a detailed comparison of the two text types. A new metric, concept coverage...

The classification and identification of soft skills within the European Skills, Competences, Qualifications, and Occupations (ESCO) framework presents a significant challenge, as ESCO does not explicitly indicate which of its listed skills are considered "soft". This lack of clear labelling...

CSR is increasingly becoming an integral part of a company's business operation. To successfully implement a CSR strategy, companies must address their CSR actions to their stakeholders. This paper examines how companies communicate sus- tainability to their stakeholders through various...

Text mining and corpus linguistic methods are used to analyze 11,000 EU competition law decisions and judgments. This reveals a shift in the competition vocabulary from ordoliberalism in the 1970-80s to neoliberalism in the post-2000s. While the Commission has partly adopted a neoliberal...

This study represents an initial endeavor to harness the potential of the semantic space within the Twitter news flow to forecast financial anomalies. In pursuit of this objective, approximately two million entities were extracted from the news text disseminated by the most widely followed news...