Integrating Intra- and Inter-document Evidences for Improving Sentence Sentiment Classification
-
摘要: 评价句的极性识别是情感分析领域一个重要的研究任务. 它旨在将评价句的极性分为褒义、贬义或是中性三种类别. 一般而言, 评价句的极性识别可以看作一个文本分类任务. 然而, 判断一个评价句的极性不仅需要关注句子内部的特征, 而且还需要一些句子外部特征相配合, 尤其对于一些内部特征极性模糊的评价句而言. 因此, 在本文中, 我们提出了两种句子外部特征: 篇章内部特征和篇章外部特征, 并使用了基于图的算法来融合这两种特征. 在数码相机领域语料上的实验结果表明, 本文提出的方法不仅优于仅使用评价句内部特征的方法, 而且还优于前人有代表性的工作.Abstract: Sentence sentiment classification is an important task of sentiment analysis. It aims to classify the sentences into positive, negative, or objective. One can consider sentence sentiment classification as a standard text categorization problem. However, determining the sentiment orientation of a review sentence requires more than the features inside the sentence itself, especially for the sentences with little or ambiguous inside sentence features. Through observing, some features outside the sentence can interact with its inside features to enhance the overall performance of sentence sentiment classification. Thus in this paper, we propose two such outside sentence features: intra-document evidence and inter-document evidence. Then in order to improve the sentence sentiment classification performance, a graph-based propagation approach is presented to incorporate these inside and outside sentence features. The experimental results on camera domain show that the proposed approach performs better than the approaches without using outside sentence features, and outperforms other representational previous approaches.
-
计量
- 文章访问数: 1869
- HTML全文浏览量: 44
- PDF下载量: 799
- 被引次数: 0