Estimating Age on Twitter Using Self-Training Semi-Supervised SVM

Journal of Robotics, Networking and Artificial Life (JRNAL)

卷:3

关键词: Twitter;    Age;    Semi-supervised learning;    Self-training;    SVM;    Plat scaling;   

DOI  :  10.2991/jrnal.2016.3.1.6

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown