Examining the performance of topic modeling techniques in Twitter trends extraction
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Year
: 2014DOI: 10.1109/SSPD.2014.6943310
Keyword(s): image classification,object detection,pedestrians,probability,traffic engineering computing,Adaboost,GPCs,Gaussian process classifiers,ICF classifiers,Piatt exponential scaling,informative predictive variance,integral channel features,introspective classification,isotonic regression,object detectors,pedestrian detection,probabilistic measures,reliability,Entropy,MATLAB,Reliability,Visualization
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Examining the performance of topic modeling techniques in Twitter trends extraction
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| date accessioned | 2020-03-12T19:40:09Z | |
| date available | 2020-03-12T19:40:09Z | |
| date issued | 2014 | |
| identifier other | 6799706.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/985558?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Examining the performance of topic modeling techniques in Twitter trends extraction | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8101214 | |
| subject keywords | image classification | |
| subject keywords | object detection | |
| subject keywords | pedestrians | |
| subject keywords | probability | |
| subject keywords | traffic engineering computing | |
| subject keywords | Adaboost | |
| subject keywords | GPCs | |
| subject keywords | Gaussian process classifiers | |
| subject keywords | ICF classifiers | |
| subject keywords | Piatt exponential scaling | |
| subject keywords | informative predictive variance | |
| subject keywords | integral channel features | |
| subject keywords | introspective classification | |
| subject keywords | isotonic regression | |
| subject keywords | object detectors | |
| subject keywords | pedestrian detection | |
| subject keywords | probabilistic measures | |
| subject keywords | reliability | |
| subject keywords | Entropy | |
| subject keywords | MATLAB | |
| subject keywords | Reliability | |
| subject keywords | Visualization | |
| identifier doi | 10.1109/SSPD.2014.6943310 | |
| journal title | nformation Networking (ICOIN), 2014 International Conference on | |
| filesize | 167072 | |
| citations | 0 | |
| contributor rawauthor | Kurniati, M.N. , Woo-Jong Ryu , Alam, M.H. , Sangkeun Lee |