摘要
针对网络中主观感情色彩的评论性文本进行处理可以获得有用的意见、结论.介绍文本倾向性分类技术,并基于该技术分析网络中对商品的评论信息.提出构建商品评价模型的方法.
The processing of subjective comments on the web yields useful opinions and conclusions. The paper introduces text tendency classification technology, on the basis of which web comments on the merchandise are analyzed and merchandise evaluation model is proposed.
出处
《苏州市职业大学学报》
2010年第3期56-59,共4页
Journal of Suzhou Vocational University
关键词
文本分类
情感词
文本倾向性
机器学习
text classification, emotional words, text tendency, machine learning
