We fine-tune a large language model to classify accounting topics within financial disclosures. This allows for the … efficient and accurate classification of accounting topics in large volumes of out-of-sample unlabeled text. Specifically, our … model leverages innovations in supervised machine learning and large language models to overcome the challenges of manually …

actual meaning and definition of the skills. It allows for the classification of more than 17 000 unique skill keywords … contained in the Burning Glass dataset into 61 categories. The outcome of the classification exercise is validated using O … literature. Compared to a manual classification, the proposed approach organises large amounts of skills information in an …

language processing (NLP) algorithms have been used to analyze central bank communications. These outdated bag-of-words methods …-learning-based NLP algorithms, also known as large language models (LLMs), which take context into account. This study applies LLMs to … central bank communications. The absence of large-language models in the central bank communications literature may be …