首页> 外文会议>International workshop on semantics evaluation >JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis
【24h】

JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis

机译:JU_CSE:基于方面的基于方面的情感分析的条件随机字段(CRF)方法

获取原文
获取外文期刊封面目录资料

摘要

The fast upswing of online reviews and their sentiments on the Web became very useful information to the people. Thus, the opinion/sentiment mining has been adopted as a subject of increasingly research interest in the recent years. Being a participant in the Shared Task Challenge, we have developed a Conditional Random Field based system to accomplish the Aspect Based Sentiment Analysis task. The aspect term in a sentence is defined as the target entity. The present system identifies aspect term, aspect categories and their sentiments from the Laptop and Restaurants review datasets provided by the organizers.
机译:在线评论的快速上升及其在网络上的情绪成为人民的非常有用的信息。因此,近年来,已采纳意见/情绪采矿作为日益研究兴趣的主题。作为共享任务挑战的参与者,我们开发了一个条件基于随机场的系统,以完成基于方面的情感分析任务。句子中的术语项被定义为目标实体。本系统识别了组织者提供的笔记本电脑和餐馆评论数据集的方面术语,方面类别及其情绪。

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