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license: apache-2.0
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license: apache-2.0
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language:
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- en
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This study is dedicated to the adaptation of the DistilBERT architecture to better interpret
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the sentiment embedded within monetary policy speeches. While the DistilBERT model has
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demonstrated its efficacy across various domains, the unique lexicon and subtleties present in
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central banking communications necessitate specialized tuning. This study involved the meticulous
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annotation of speech, report, and press release data from the European Central Bank (ECB) and
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subsequent model fine-tuning. Results underscore the model’s adeptness at discerning sentiment
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in this specialized context, offering a valuable tool for researchers and analysts examining the
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intersection of sentiment and monetary policy.
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