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Multi-modality classification for one-class classification in social networks

机译:社交网络中一类分类的多模式分类

摘要

A classification apparatus, method, and computer program product for multi-modality classification are disclosed. For each of a plurality of modalities, the method includes extracting features from objects in a set of objects. The objects include electronic mail messages. A representation of each object for that modality is generated, based on its extracted features. At least one of the plurality of modalities is a social network modality in which social network features are extracted from a social network implicit in the set of electronic mail messages. A classifier system is trained based on class labels of a subset of the set of objects and on the representations generated for each of the modalities. With the trained classifier system, labels are predicted for unlabeled objects in the set of objects.
机译:公开了用于多模式分类的分类设备,方法和计算机程序产品。对于多个模态中的每一个,该方法包括从一组对象中的对象中提取特征。这些对象包括电子邮件消息。根据该对象的提取特征,生成该对象的每个对象的表示。多个模态中的至少一个是社交网络模态,其中从隐含在电子邮件消息集合中的社交网络中提取社交网络特征。基于对象集的子集的类标签以及针对每个模态生成的表示,训练分类器系统。使用训练有素的分类器系统,可以预测对象集中未标记对象的标签。

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