首页> 外文会议>Australasian joint conference on artificial intelligence >Towards the Elimination of the Miscommunication Between Users in Twitter: Tweet Classification Based on Expected Responses by User
【24h】

Towards the Elimination of the Miscommunication Between Users in Twitter: Tweet Classification Based on Expected Responses by User

机译:致力于消除Twitter中用户之间的沟通错误:基于用户预期响应的推文分类

获取原文

摘要

In recent years, a Twitter response from another user who does not share the intentions and expectations of the original poster may cause discomfort and stress, which is a social phenomenon known as SNS fatigue. For example, a user may receive answers that are different from her/his expectation after the user posts a question on the timeline. In the background of such responses there is a miscommunication between users. In order to resolve the problem, it is important to know what the original poster expected as responses to her/his tweet. In this paper, we propose a classification method of tweets according to the response that users expect, and experimentally evaluate it. As a result, we have shown that tweets which the poster does not expect any replies can be classified with 76.2 % of the average precision.
机译:近年来,来自不同用户的Twitter用户的Twitter响应与原始海报的意图和期望不同,可能会导致不适和压力,这是一种社会现象,被称为SNS疲劳。例如,在用户在时间线上发布问题之后,用户可能会收到与他/他的期望不同的答案。在此类响应的背景下,用户之间存在沟通不畅的情况。为了解决该问题,重要的是要知道原始海报期望作为对她/他的推文的回应。在本文中,我们根据用户期望的响应提出了一种推文分类方法,并进行了实验评估。结果,我们表明,发帖人希望没有回复的推文可以按平均准确度的76.2%分类。

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