News-based Sentiment Indicators /
We construct sentiment indices for 20 countries from 1980 to 2019. Relying on computational text analysis, we capture specific language like 'fear', 'risk', 'hedging', 'opinion', and, 'crisis', as well as 'positive' and 'negative'...
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| Altri autori: | , , |
| Natura: | Periodico |
| Lingua: | English |
| Pubblicazione: |
Washington, D.C. :
International Monetary Fund,
2019.
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| Serie: | IMF Working Papers; Working Paper ;
No. 2019/273 |
| Accesso online: | Full text available on IMF |