Does High Frequency Social Media Data Improve Forecasts of Low Frequency Consumer Confidence Measures?
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Social media data presents challenges for forecasters since one must convert text into data and deal with issues related to these measures being collected at different frequencies and volumes than traditional financial data. In this paper, we use a deep learning algorithm to measure sentiment within
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美国国家经济研究局创建时间：
2019-12-01
