• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Computers >Appraisal Expression Recognition Based on Generalized Mutual Information
【24h】

Appraisal Expression Recognition Based on Generalized Mutual Information

机译：基于广义互信息的评估表达识别

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

—The polarity of a subjective sentence in customers’ reviews depends on not only the semantic orientation of opinion words, but also their context, especially the modified features. An Appraisal Expression consists of an opinion word and the modified feature, and can accurately describe the holders’ opinion about the feature. In this paper, we propose a novel method that uses generalized mutual information to automatically recognize the appraisal expressions from customers’ reviews. Our method does not fill in any template and is domain independent. More important, our method can avoid the complex syntactic analysis while keeping the comparable accuracy, which greatly improves the efficiency of appraisal expression recognition. Our experimental results show that the F-measure of our method is up to 80.18% and 80.08% respectively, which is higher than the existing methods, and the efficiency is also comparable to the past methods.
机译：- 客户评论中主观句子的极性不仅取决于观点词的语义方向，还取决于观点词的语义方向，也取决于他们的上下文，尤其是修改的特征。评估表达包括一个意见单和修改功能，可以准确地描述持有者对该功能的看法。在本文中，我们提出了一种新的方法，它使用广泛的互信息来自动识别客户评论的评估表达。我们的方法不填写任何模板，并且是独立的域。更重要的是，我们的方法可以避免复杂的句法分析，同时保持可比的准确性，这大大提高了评估表达识别的效率。我们的实验结果表明，我们的方法的F措施分别高达80.18％和80.08％，高于现有方法，效率也与过去的方法相当。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号