DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Junkeon | ko |
dc.contributor.author | Na, Yeongyeon | ko |
dc.contributor.author | Moon, Il-Chul | ko |
dc.date.accessioned | 2020-03-27T01:21:23Z | - |
dc.date.available | 2020-03-27T01:21:23Z | - |
dc.date.created | 2020-03-12 | - |
dc.date.created | 2020-03-12 | - |
dc.date.created | 2020-03-12 | - |
dc.date.issued | 2017-10-05 | - |
dc.identifier.citation | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, pp.954 - 959 | - |
dc.identifier.uri | http://hdl.handle.net/10203/273658 | - |
dc.description.abstract | Predicting an approval rate of politicians is a popular task. While a type of prediction is using a text mining from news articles, we introduce a text augmented Gaussian process to perform the prediction with contexts. We test our model with 2017 South Korea Presidential Election in 1) a quantitative evaluation, and 2) a qualitative analysis. The performance of the model with text input is better than the performance of the model without the text input, which has been a typical approach of applying the Gaussian process. Moreover, the model can capture keywords which provide behind rational of the prediction result, which was not provided with only temporal information. | - |
dc.language | English | - |
dc.publisher | IEEE Systems, Man, and Cybernetics Society | - |
dc.title | Text Augmented Automatic Statistician for Predicting Approval Rates of Politicians | - |
dc.type | Conference | - |
dc.identifier.wosid | 000427598700166 | - |
dc.identifier.scopusid | 2-s2.0-85044143585 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 954 | - |
dc.citation.endingpage | 959 | - |
dc.citation.publicationname | 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 | - |
dc.identifier.conferencecountry | CN | - |
dc.identifier.conferencelocation | Banff, AB | - |
dc.identifier.doi | 10.1109/SMC.2017.8122733 | - |
dc.contributor.localauthor | Moon, Il-Chul | - |
dc.contributor.nonIdAuthor | Park, Junkeon | - |
dc.contributor.nonIdAuthor | Na, Yeongyeon | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.