Whatever it Takes to Understand a Central Banker – Embedding their Words Using Neural Networks.

Dictionary approaches are at the forefront of current techniques for quantifying central bank communication. This paper proposes embeddings - a language model trained using machine learning techniques - to locate words and documents in a multidimensional vector space. To accomplish this, we utilize...

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Bibliographic Details

Published in:	MAGKS - Joint Discussion Paper Series in Economics (Band 30-2021)
Main Authors:	Baumgärtner, Martin, Zahner, Johannes
Format:	Article
Language:	English
Published:	Philipps-Universität Marburg 2021
Subjects:	Central Bank Com- munication Transfer Learning Neural Network Wirtschaft Word Embedding Natural Language Processing Economics
Online Access:	PDF Full Text
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