These are datasets of economic sentiments derived from Uk newspapers using a dictionary and support vector machines. For more information on the application refer to : Rambaccussing, D. and Kwiatkowski, A., 2020. Forecasting with news sentiment: Evidence with UK newspapers. International Journal of Forecasting, 36(4), pp.1501-1516. https://www.sciencedirect.com/science/article/pii/S016920702030059
Forecasting utility of UK consumer sentiment indexes in real time: do consumer sentiment surveys imp...
The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time ...
We apply the two-step machine-learning method proposed by Claveria et al. (2021) to generate country...
We investigate the performance of newspapers for forecasting inflation, output and unemployment in t...
News analytics and text sentiment detection were established in recent years as methods that can sup...
© 2018 The Author(s) The modern calculation of textual sentiment involves a myriad of choices as to ...
The modern calculation of textual sentiment involves a myriad of choices as to the actual calibratio...
Forecasting is the process of making predictions about events whose actual outcomes have not yet bee...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
Abstract: This paper develops indicators of unstructured press information by exploiting word vect...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
In this article, the sentiment analysis of several large Internet corpora made of Italian and Englis...
We provide an overview on the preliminary development of a neural machine translation and deep learn...
GDP statistics in France are published on a quarterly basis, 30 days after the end of the quarter. I...
Measuring the informational content of text in economic and financial news is useful for market part...
Forecasting utility of UK consumer sentiment indexes in real time: do consumer sentiment surveys imp...
The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time ...
We apply the two-step machine-learning method proposed by Claveria et al. (2021) to generate country...
We investigate the performance of newspapers for forecasting inflation, output and unemployment in t...
News analytics and text sentiment detection were established in recent years as methods that can sup...
© 2018 The Author(s) The modern calculation of textual sentiment involves a myriad of choices as to ...
The modern calculation of textual sentiment involves a myriad of choices as to the actual calibratio...
Forecasting is the process of making predictions about events whose actual outcomes have not yet bee...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
Abstract: This paper develops indicators of unstructured press information by exploiting word vect...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
In this article, the sentiment analysis of several large Internet corpora made of Italian and Englis...
We provide an overview on the preliminary development of a neural machine translation and deep learn...
GDP statistics in France are published on a quarterly basis, 30 days after the end of the quarter. I...
Measuring the informational content of text in economic and financial news is useful for market part...
Forecasting utility of UK consumer sentiment indexes in real time: do consumer sentiment surveys imp...
The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time ...
We apply the two-step machine-learning method proposed by Claveria et al. (2021) to generate country...
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