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Interest Rate Prediction with Twitter Sentiment
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NEPPALLI DISSERTATION
2016 · Cité 55 fois — Patricia Trambauer a Tweet how they are affected, if they need help and how deep the flood water is, This method was tested in this study for the flood event of 9-11 February 2015
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Cité 2 fois — Also the help of Patricia Trambauer, who supported me in (2015) on the other hand proposed to use Twitter data in conjunction Mapping floods due to Hurricane
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2017 · Cité 52 fois — (McCulloch, 2015); the associated Pluto Flyby messages reached ways users engage with messages on Twitter and Facebook Hurricane Patricia from Space About an hour ago NASA
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6 mars 2018 perform a longitudinal analysis of the persistence of 30 Twitter datasets ... Hurricane Patricia. 2015 ... 2015 November 13 November 24.
25 nov. 2015 EUMETRAIN November 2015 ... Hurricane Patricia (10/20-24/2015) the most powerful hurricane on ... Twitter: NASA_Rain Facebook: NASA.Rain.
2015 Atlantic Hurricane Season Patricia's Rapid Intensification – Extreme Event! ... website and Twitter simultaneously to indicate when.
1 nov. 2018 Such disparities could have dire conse- quences in emergency management and disaster resilience (Li Goodchild
Such disparities could have dire conse- quences in emergency management and disaster resilience (Li Goodchild
written and spoken language is new media language (e.g. Crystal 2009; Jonsson 2015). Amongst these media Twitter
2015 September 2. November 24. 1743
2015. Mixed- initiative social media analytics at the world bank: Observations of citizen sentiment in Twitter data to explore “trust” of political actors
tsunami and the 2015 Nepal earthquake
Interest Rate Prediction with Twitter Sentiment