US Presidential election 2012 prediction using census corrected Twitter model

US Presidential Election 2012 has been a very tight race between the two key candidates. Therewere intense battle between the two key candidates. The election reflects the sentiment of theelectorate towards the achievements of the incumbent President Obama. The campaign lastedseveral months and the...

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Main Authors: CHOY, Junyu, CHEONG, Michelle L. F., MA, Nang Laik, KOO, Ping Shung
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Language:English
Published: Institutional Knowledge at Singapore Management University 2012
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Online Access:https://ink.library.smu.edu.sg/sis_research/4319
https://ink.library.smu.edu.sg/context/sis_research/article/5322/viewcontent/US_Presidential_election_2012_prediction_using_census_corrected_Twitter_model.pdf
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spelling sg-smu-ink.sis_research-53222019-03-15T02:41:14Z US Presidential election 2012 prediction using census corrected Twitter model CHOY, Junyu CHEONG, Michelle L. F. MA, Nang Laik KOO, Ping Shung US Presidential Election 2012 has been a very tight race between the two key candidates. Therewere intense battle between the two key candidates. The election reflects the sentiment of theelectorate towards the achievements of the incumbent President Obama. The campaign lastedseveral months and the effects can be felt in the internet and twitter. The presidential debatesinjected new vigor in the challenger's campaign and successfully captured the electorate of severalstates posing a threat to the incumbent's position. Much of the sentiment in the election has beencaptured in the online discussions. In this paper, we will be using the original model described inChoy et. al. (2011) using twitter data to forecast the next US president. 2012-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4319 https://ink.library.smu.edu.sg/context/sis_research/article/5322/viewcontent/US_Presidential_election_2012_prediction_using_census_corrected_Twitter_model.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Social Influence and Political Communication Social Media
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Social Influence and Political Communication
Social Media
spellingShingle Social Influence and Political Communication
Social Media
CHOY, Junyu
CHEONG, Michelle L. F.
MA, Nang Laik
KOO, Ping Shung
US Presidential election 2012 prediction using census corrected Twitter model
description US Presidential Election 2012 has been a very tight race between the two key candidates. Therewere intense battle between the two key candidates. The election reflects the sentiment of theelectorate towards the achievements of the incumbent President Obama. The campaign lastedseveral months and the effects can be felt in the internet and twitter. The presidential debatesinjected new vigor in the challenger's campaign and successfully captured the electorate of severalstates posing a threat to the incumbent's position. Much of the sentiment in the election has beencaptured in the online discussions. In this paper, we will be using the original model described inChoy et. al. (2011) using twitter data to forecast the next US president.
format text
author CHOY, Junyu
CHEONG, Michelle L. F.
MA, Nang Laik
KOO, Ping Shung
author_facet CHOY, Junyu
CHEONG, Michelle L. F.
MA, Nang Laik
KOO, Ping Shung
author_sort CHOY, Junyu
title US Presidential election 2012 prediction using census corrected Twitter model
title_short US Presidential election 2012 prediction using census corrected Twitter model
title_full US Presidential election 2012 prediction using census corrected Twitter model
title_fullStr US Presidential election 2012 prediction using census corrected Twitter model
title_full_unstemmed US Presidential election 2012 prediction using census corrected Twitter model
title_sort us presidential election 2012 prediction using census corrected twitter model
publisher Institutional Knowledge at Singapore Management University
publishDate 2012
url https://ink.library.smu.edu.sg/sis_research/4319
https://ink.library.smu.edu.sg/context/sis_research/article/5322/viewcontent/US_Presidential_election_2012_prediction_using_census_corrected_Twitter_model.pdf
_version_ 1770574619021934592