Twitter mood predicts the stock market (2010-10-14T00:00:00.000000Z)

TL;DR

This work investigates whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time and indicates that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific public mood dimensions but not others.

Authors

J. Bollen

1 papers

Huina Mao

1 papers

Xiao-Jun Zeng

1 papers

TL;DR

Authors

References77 items

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United States Email:jbollen@indiana