计算机工程2012，Vol.38Issue(16)：1-4,4.DOI:10.3969/j.issn.1000-3428.2012.16.001
基于粗糙集的在线评论情感分析模型
Online Reviews Sentiment Analysis Model Based on Rough Sets
摘要
Abstract
In order to extract the complicated features for online reviews sentiment analysis, an online reviews sentiment analysis model based on rough sets is presented. It analyzes the traditional word bags features, and the regular collocation features are confirmed to play important role in identifying the reviews sentiment. The regular collocation features as rough rules extracted are incorporated into the sentiment analysis model, and the results on real hotel online reviews show the performance improvement under both Support Vector Machine(SVM) model and Naive Bayes model.关键词
情感分析/粗糙集/特征提取/词袋特征/固定搭配特征/支持向量机Key words
sentiment analysis/ rough set/ feature extraction/ word bag feature/ regular collocation feature/ Support Vector Machine(SVM)分类
信息技术与安全科学引用本文复制引用
王祖辉,姜维..基于粗糙集的在线评论情感分析模型[J].计算机工程,2012,38(16):1-4,4.基金项目
国家自然科学基金资助项目(70801022) （70801022）
中央高校基本科研业务费专项基金资助项目(HIT.NSRIF.2010083) （HIT.NSRIF.2010083）
中国博士后科学基金资助项目(20090450973) （20090450973）
黑龙江省教育厅科学技术研究基金资助项目(12511435) （12511435）
