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Systems and methods for sentiment detection, measurement, and normalization over social networks

机译:用于社交网络上的情绪检测,测量和归一化的系统和方法

摘要

A new approach is proposed that contemplates systems and methods to provide the ability to detect, measure, aggregate, and normalize sentiments expressed by a group of users on a certain event or topic on a social network so that the normalized sentiments truly reflect the sentiments of the general public on that specific event or topic. Additionally, the collected and measured sentiments of an individual user expressed on a social network can also be normalized against a baseline sentiment that reflects in order to truly reflect the individual user's sentiment at the time of his/her expression.
机译:提出了一种新方法,该方法考虑了系统和方法,以提供检测,度量,汇总和归一化一组用户在社交网络上某个事件或主题上表达的情感的能力,从而使归一化的情感真实地反映出用户的情感。公众对该特定事件或主题的关注。另外,在社交网络上表达的单个用户的收集和测量的情感也可以相对于反映的基线情感进行归一化,以便真实地反映单个用户在表达他/她的表达时的情感。

著录项

  • 公开/公告号US9189797B2

    专利类型

  • 公开/公告日2015-11-17

    原文格式PDF

  • 申请/专利权人 TOPSY LABS INC.;

    申请/专利号US201213660533

  • 发明设计人 RISHAB AIYER GHOSH;SCOTT PARK MANLEY;

    申请日2012-10-25

  • 分类号G06F15/16;G06Q30/02;G06Q50;

  • 国家 US

  • 入库时间 2022-08-21 14:30:29

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