首页> 外文会议>IEEE International Conference on Data Science and Advanced Analytics >Sentiment Analysis of Facebook Data using Hadoop based Open Source Technologies
【24h】

Sentiment Analysis of Facebook Data using Hadoop based Open Source Technologies

机译:基于Hadoop的开源技术的Facebook数据的情感分析

获取原文

摘要

As more and more enterprises are looking forward to leveraging the connected network of Facebook to capture inputs and feedback on their brands, it is becoming increasingly important to mine the unstructured information from Facebook The recent advances in open source software technologies in the map reducing paradigm opens up a whole new opportunity for such advanced analytics. This paper illustrates the use of open source technologies for brand sentiment analysis from Facebook data.
机译:随着越来越多的企业期待利用联合的Facebook网络来捕获其品牌的投入和反馈,它变得越来越重要,可以从Facebook中挖掘非结构化信息,最近的开源软件技术在降低范例中的开放源软件技术的进步这类高级分析的全新机会。本文说明了从Facebook数据中使用开源技术的品牌情绪分析。

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