From Text to Quantified Insights: A Large-Scale LLM Analysis of Central Bank Communication.
Computer vision is an artificial intelligence field that trains computers to "see" and interpret the visual world from images and videos. It is used for a wide range of applications, including object recognition and classification, facial recognition for security, quality control in manufacturing, medical image analysis, and sports analytics. This field works by using deep learning models to process and understand visual data to identify patterns, classify objects, and even react to what they "see". This paper introduces a classification framework to analyze central bank communications across four dimensions: topic, communication stance, sentiment, and audience. Using a fine-tuned large language model trained on central bank documents, we classify individual sentences to transform policy language into systematic and quantifiable metrics on how central banks convey information to diverse stakeholders. Applied to a multilingual dataset of 74,882 documents from 169 c...


Comments
Post a Comment