计算机工程2012，Vol.38Issue(15)：187-189,193,4.DOI:10.3969/j.issn.1000-3428.2012.15.052
基于HowNet和PMI的词语情感极性计算
Words Sentiment Polarity Calculation Based on HowNet and PMI
摘要
Abstract
This paper describes the face recognition algorithm of Histograms of Oriented Gradients(HOG), and designs face recognition experiment based on HOG The Experiment is done on the Face Recognition Technology(FERET) face database. It testes the effect of different HOG parameters on face recognition and tries to find the optimal parameter settings. Experimental results show that the choice of space and range in gradient direction of HOG feature is the same on pedestrian detection and face recognition. The different block mode has different effects too. HOG descriptor can express face effectively when it produce less characteristic dimension in non-overlapping manner. Recognition performance improves significantly when it is standardized.关键词
情感分析/点互信息/知网/同义词扩展/相似度Key words
Histograms of Oriented Gradients(HOG)/ face recognition/ pedestrian detection/ Euclidean distance分类
信息技术与安全科学引用本文复制引用
王振宇,吴泽衡,胡方涛..基于HowNet和PMI的词语情感极性计算[J].计算机工程,2012,38(15):187-189,193,4.基金项目
广东省科技计划基金资助项目“基于情感极性分析的互联网敏感信息监控系统项目号”(2010B010600017) （2010B010600017）
