US presidential election 2012 prediction using census corrected Twitter model
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| Paper (help) | |
|---|---|
| US presidential election 2012 prediction using census corrected Twitter model | |
| Authors: | Murphy Choy, Michelle Cheong, Ma Nang Laik, Koo Ping Shung |
| Citation: | missing journal missing volume : missing pages. 2012 November |
| Database(s): | arXiv (Arxiv/1211.0938) |
| DOI: | Define doi. |
| Link(s): | http://arxiv.org/pdf/1211.0938v2 |
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| Article: | BASE Google Scholar PubMed |
| Restricted: | DTU Digital Library |
| Other: | NIF |
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| Format: | BibTeX |
| Extract: | Talairach coordinates from linked PDF: CSV-formated wiki-formated |
US presidential election 2012 prediction using census corrected Twitter model describes an analysis of Twitter postings in relation to the US Presidential Election 2012.
As data 7,541,470 tweets from August 2012 to October 2012 were used. The AFINN word list was used for text sentiment analysis.
