[PDF] Applications of Twitter Emotion Detection for Stock Market Prediction





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Fast flow-based algorithm for creating density-equalizing map

20 févr. 2018 (B) A cartogram of the 2016 Electoral College satisfies the area ... the media but are not map projections in a strict sense: There is no ...



Predicting 2016 State Presidential Election Results with a National

26 mai 2017 While the approach does not perfectly estimate turnout as a share of the voting age population popular vote shares or vote margins in each ...



A Bayesian Model for the Prediction of United States Presidential

model was originally used to predict the 2016 election but later it was 1 and Figure 2



Predicting the Next US President by Simulating the Electoral College

1 janv. 2018 Keywords: presidential election forecast simulation of electoral votes ... Figure 2: One possible realization of the 2016 electoral map



Americas Electoral Future

This report focuses on what those projections imply for the presidential elections of 2016 2020



Esri

The purpose of this map is to show which states changed voting affiliation between the 2012 and 2016 presidential elections. 1. Open Midterm Election 2018 



Predicting the Next US President by Simulating the Electoral College

1 janv. 2018 Keywords: presidential election forecast simulation of electoral votes ... Figure 2: One possible realization of the 2016 electoral map



Presidential Election Data: Predominant Mapping

First you'll save a copy of a map with 2016 presidential election data. in future elections can use this map to target campaigns or make predictions.



Human Pose Estimation using Deep Consensus Voting

27 mars 2016 Structure prediction usually by a graphical model



Applications of Twitter Emotion Detection for Stock Market Prediction

18 mai 2017 Then we apply our emotion classifier to tweets from the 2016 presidential election and financial tweets labeled with Twitter cashtags and ...

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