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  1. 学術雑誌論文
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Estimating Age on Twitter Using Self-Training Semi-Supervised SVM

http://hdl.handle.net/20.500.12000/42185
http://hdl.handle.net/20.500.12000/42185
3e106705-c0d4-4444-89e1-1d47c2a574cb
名前 / ファイル ライセンス アクション
25856332.pdf 25856332.pdf
Item type デフォルトアイテムタイプ(フル)(1)
公開日 2018-08-07
タイトル
タイトル Estimating Age on Twitter Using Self-Training Semi-Supervised SVM
言語 en
作成者 Iju, Tatsuyuki

× Iju, Tatsuyuki

en Iju, Tatsuyuki

Endo, Satoshi

× Endo, Satoshi

en Endo, Satoshi

Toma, Naruaki

× Toma, Naruaki

en Toma, Naruaki

Akamine, Yuhei

× Akamine, Yuhei

en Akamine, Yuhei

アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
言語 ja
権利情報 © The authors.This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
主題
言語 en
主題Scheme Other
主題 Twitter
言語 en
主題Scheme Other
主題 Age
言語 en
主題Scheme Other
主題 Semi-supervised learning
言語 en
主題Scheme Other
主題 Self-training
言語 en
主題Scheme Other
主題 SVM
言語 en
主題Scheme Other
主題 Plat scaling
内容記述
内容記述タイプ Other
内容記述 The estimation methods for Twitter user’s attributes typically require a vast amount of labeled data. Therefore, an efficient way is to tag the unlabeled data and add it to the set. We applied the self-training SVM as a semi-supervised method for age estimation and introduced Plat scaling as the unlabeled data selection criterion in the self-training process. We show how the performance of the self-training SVM varies when the amount of training data and the selection criterion values are changed.
内容記述タイプ Other
内容記述 論文
出版者
言語 en
出版者 Atlantis Press
言語
言語 eng
資源タイプ
資源タイプ journal article
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
識別子
識別子 http://hdl.handle.net/20.500.12000/42185
識別子タイプ HDL
関連情報
関連識別子
識別子タイプ DOI
関連識別子 http://dx.doi.org/10.2991/jrnal.2016.3.1.6
関連識別子
識別子タイプ DOI
関連識別子 info:doi/10.2991/jrnal.2016.3.1.6
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 2352-6386
収録物名
言語 en
収録物名 Journal of Robotics, Networking and Artificial Life
書誌情報
巻 3, 号 1, p. 24-27
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