首页> 外文期刊>Journal of computational and theoretical nanoscience >Extraction and Clustering of Adverse Drugs: Using Twitter Data
【24h】

Extraction and Clustering of Adverse Drugs: Using Twitter Data

机译:不良药物的提取和聚类:使用Twitter数据

获取原文
获取原文并翻译 | 示例
       

摘要

Social media is a place where one can create, update and share both the Public/Private Messages and Updates through various Platforms to several communities. It plays a vital role in our Traditional and Cultural Values. There are different types of Media Platform in which one can communicate and gets interacted with each other. But many of the people prefer social media like Linkedln, Facebook, Twitter, Various Creative and Non Creative blogs and Various YouTube channels. There is a huge transformation in the field of Medicine with marvelous up gradation of speed in social media networking for the common public. People make use of these social media platform to seek general information regarding medicine and diseases and its symptoms.
机译:社交媒体是一个可以创建、更新和共享公共/私人信息以及通过各种平台向多个社区更新的地方。它在我们的传统和文化价值观中起着至关重要的作用。人们可以在不同类型的媒体平台上进行交流和互动。但许多人更喜欢社交媒体,如Linkedln、Facebook、Twitter、各种创意和非创意博客以及各种YouTube频道。医学领域正在发生巨大的变革,公众社交媒体网络的发展速度也在惊人地提高。人们利用这些社交媒体平台来寻求有关药物、疾病及其症状的一般信息。

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