计算机工程2012，Vol.38Issue(8)：147-149,152,4.DOI:10.3969/j.issn.1000-3428.2012.08.048
基于状态和行为描述的情感分类方法
Sentiment Classification Method Based on Status and Action Description
摘要
Abstract
In order to make use of different information of sentiment text. This paper proposes sentiment classification method based on status and action description. It aims to classify the sentimental text into two views called status views and action views and employs them in supervised sentiment classification. In order to get the two views, it manually annotates corpus and trains a binary classifier with the corpus to detect the two views. Each view is trained to be a single classifier and an ensemble of the individual classifiers is employed to improve the effect of the classification. Experimental results show the classification effectiveness of the proposed method has improvement on three domains of Chinese sentiment classification tasks.关键词
中文信息处理/情感分析/监督学习/最大熵/分类器融合Key words
Chinese information processing/sentiment analysis/supervised learning/maximum entropy/classifier fusion分类
信息技术与安全科学引用本文复制引用
张慧,王中卿,李寿山,杨欣欣,李培峰,朱巧明..基于状态和行为描述的情感分类方法[J].计算机工程,2012,38(8):147-149,152,4.基金项目
国家自然科学基金资助项目(60970056, 61070123, 61003155) （60970056, 61070123, 61003155）
模式识别国家重点实验室开放课题基金资助项目 （）
江苏省自然科学基金资助项目(BK2008160) （BK2008160）
高等学校博士学科点专项科研基金资助项目(20093201110006) （20093201110006）
