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Working Paper
Measuring News Sentiment
This paper demonstrates state-of-the-art text sentiment analysis tools while developing a new time-series measure of economic sentiment derived from economic and financial newspaper articles from January 1980 to April 2015. We compare the predictive accuracy of a large set of sentiment analysis models using a sample of articles that have been rated by humans on a positivity/negativity scale. The results highlight the gains from combining existing lexicons and from accounting for negation. We also generate our own sentiment-scoring model, which includes a new lexicon built specifically to ...
Journal Article
News Sentiment in the Time of COVID-19
The COVID-19 pandemic is causing severe disruptions to daily life and economic activity. Reliable assessments of the economic fallout in this rapidly evolving situation require timely data. Existing sentiment indexes are useful indicators of current and future spending but are only available with a lag or have a short history. A new Daily News Sentiment Index provides a way to measure sentiment in real time from 1980 to today. Compared with survey-based measures of consumer sentiment, this index shows an earlier and more pronounced drop in sentiment in recent weeks.