情感倾向的分析已经成为当前研究的热点.面向新闻的情感关键句抽取与判定主要运用的技术有对文本进行预处理、计算文本中词项权重、提取情感关键句、用SVM分类器对情感关键句进行情感倾向性分析.实验结果表明:JXNUIIP系统对情感关键句提取问题有良好的效果.
Sentimental opinion analysis has become a research focus currently. Sentiment key sentence extraction and identification for news,firstly preprocessed of the text,calculated weight of the terms,extracted the sentiment key sentences,and then used the SVM classifier to analysis the sentimental opinion of the sentence. Experimental results validated that JXNUIIP system has preferable performance on extracting sentiment key sentence.