首页    期刊浏览 2024年11月09日 星期六
登录注册

文章基本信息

  • 标题:Use of Porter Stemming Algorithm and SVM for EmotionExtraction from News Headlines
  • 本地全文:下载
  • 作者:Chaitali G. Patil ; Sandip S. Patil
  • 期刊名称:International Journal of Electronics, Communication and Soft Computing Science and Engineering
  • 印刷版ISSN:2277-9477
  • 出版年度:2013
  • 卷号:2
  • 期号:7
  • 出版社:IJECSCSE
  • 摘要:Emotions play an essential role in social interactions, performs important regulatory and utilitarian functions within hu man body, brain, facilitate rational decision making and perception. Emotion indicating, if the feeling is positive or negative. Emotions may be expressed by a person's speech, face expression and written text known as speech, facial and text based emotion respectively. There are six basic emotion classifications:anger, disgust, fear, happiness,sadnss and surpri se. In this paper we are proposing a novel method for extracting the emotions from news headlines. In this approach we are using porter stemming algorithm for preprocessing and SVM classifier for classification
  • 关键词:Emotion classification; SVM; emotion detection; text categorization; preprocessing
国家哲学社会科学文献中心版权所有