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@@ -13,6 +13,8 @@ pipeline_tag: text-classification
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  tags:
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  - finance
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  ---
 
 
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  <div style="display: flex; align-items: center;">
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  <img src="https://i.postimg.cc/HLqPqkyk/Central-Bank-Ro-BERTa-logos-black.png" width="200" height="200" style="margin-right: 20px;">
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  <div>
@@ -74,4 +76,20 @@ print("Sentiment:", sentinement_result[0]['label'])
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  <a href="mailto:[email protected]">[email protected]</a>
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  </td>
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  </tr>
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- </table>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tags:
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  - finance
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  ---
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+ [![Paper Page](https://img.shields.io/badge/Paper_Page-j.jfds.2023.100114-green)](https://doi.org/10.1016/j.jfds.2023.100114)
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+
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  <div style="display: flex; align-items: center;">
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  <img src="https://i.postimg.cc/HLqPqkyk/Central-Bank-Ro-BERTa-logos-black.png" width="200" height="200" style="margin-right: 20px;">
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  <div>
 
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  <a href="mailto:[email protected]">[email protected]</a>
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  </td>
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  </tr>
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+ </table>
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+
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+ ### BibTeX entry and citation info
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+
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+ ```bibtex
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+ @article{Pfeifer2023,
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+ title = {CentralBankRoBERTa: A fine-tuned large language model for central bank communications},
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+ journal = {The Journal of Finance and Data Science},
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+ volume = {9},
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+ pages = {100114},
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+ year = {2023},
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+ issn = {2405-9188},
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+ doi = {https://doi.org/10.1016/j.jfds.2023.100114},
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+ url = {https://www.sciencedirect.com/science/article/pii/S2405918823000302},
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+ author = {Moritz Pfeifer and Vincent P. Marohl},
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+ }
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+ ```