Using a Rich Context Model for Real-Time Big Data Analytics in Twitter

Alisa Sotsenko, M. Jansen, M. Milrad, Juwel Rana
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引用次数: 7

Abstract

In this paper we present an approach for contextual big data analytics in social networks, particularly in Twitter. The combination of a Rich Context Model (RCM) with machine learning is used in order to improve the quality of the data mining techniques. We propose the algorithm and architecture of our approach for real-time contextual analysis of tweets. The proposed approach can be used to enrich and empower the predictive analytics or to provide relevant context-aware recommendations.
在Twitter中使用富上下文模型进行实时大数据分析
在本文中,我们提出了一种在社交网络中进行上下文大数据分析的方法,特别是在Twitter中。为了提高数据挖掘技术的质量,将富上下文模型(RCM)与机器学习相结合。我们提出了我们的方法的算法和架构,用于tweets的实时上下文分析。建议的方法可用于丰富和增强预测分析,或提供相关的上下文感知建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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