...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal on Semantic Web and information systems >A Real-Time Twitter Trend Analysis and Visualization Framework
【24h】

A Real-Time Twitter Trend Analysis and Visualization Framework

机译：实时推特趋势分析和可视化框架

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Trend analysis over Twitter offers organizations a fast and effective way of predicting the future trends. In the recent years, a wide range of indicators and methods were used for predicting the trend on Twitter with varying results, unfortunately most of the research focused only on the emerging trends which has gained long-term attention on the Twitter platform. This article depicts trend variations, i.e. to predict whether the trend on Twitter will gain attention or not in the next few hours. Hence a novel method called: "Twitter Trend Momentum (TTM)" is introduced for trend prediction which is the enhancement of a well-known stock market indicator called moving average convergence divergence (MACD). Reason analysis for trend variation is also carried out as an extension to the authors' research work. An evaluation of the framework showed the best results which are applied to build a real-time web application called "TwitTrend." The application acts as a real-time update and recommendation system of top trends to users.
机译：Twitter趋势分析为组织提供了一种快速有效的方法，可以预测未来的趋势。近年来，广泛的指标和方法用于预测推特上具有不同结果的推特的趋势，遗憾的是，大多数研究仅集中在新兴趋势上，这些趋势在推特平台上获得了长期关注的新兴趋势。本文描绘了趋势变化，即预测Twitter上的趋势是否会在未来几个小时内引起注意。因此，引入了一种新的方法：“Twitter趋势动量（TTM）”被引入趋势预测，这是提高称为移动平均会聚分歧（MACD）的众所周知的股票市场指标的增强。趋势变异的原因分析也是作为作者研究工作的延伸。对框架的评估显示了最佳结果，用于构建名为“Twittrend”的实时Web应用程序。该申请充当了用户的最新趋势的实时更新和推荐系统。

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