Abstract: Based on the social connection anong the comments in the social network, the authors propose a new approach of semi-supervised sentiment classification, and provide a document-word and social connection bipartite graph structure and apply to label propagation algorithm. Evaluation shows that the proposed approach performs better than that which only considers comment textual information.

Key words: natural language processing, sentiment classification, semi-supervised, social network, label propagation

摘要： 基于样本的社会关系, 提出一种新的半监督学习方法, 创建一种基于文档?词及社会关系的二部图模型, 并根据标签传播算法将未标注样本加入到分类器的构建中。实验结果表明, 加入社会关系网络的半监督情感分类方法明显优于传统的仅利用评论文本信息的半监督情感分类方法。

关键词: 情感分类, 半监督, 社会关系网络, 标签传播, 自然语言处理