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'...
| Главный автор: | |
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| Другие авторы: | , , |
| Формат: | Журнал |
| Язык: | English |
| Опубликовано: |
Washington, D.C. :
International Monetary Fund,
2019.
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| Серии: | IMF Working Papers; Working Paper ;
No. 2019/273 |
| Online-ссылка: | Full text available on IMF |