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

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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Veröffentlicht in:MAGKS - Joint Discussion Paper Series in Economics (Band 30-2021)
Autoren: Baumgärtner, Martin, Zahner, Johannes
Format: Artikel
Sprache:Englisch
Veröffentlicht: Philipps-Universität Marburg 2021
Schlagworte:
Neural Network
Natural Language Processing
Wirtschaft
Word Embedding
Transfer Learning
Central Bank Com- munication
Economics
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MAGKS - Joint Discussion Paper Series in Economics

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