利用Twitter挖掘公众思想,预测趋势并创造价值

Sanchita Kadambari, Kalpana Jaswal, Praveen Kumar, S. Rawat
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引用次数: 12

摘要

随着世界上的数据集以爆炸式的速度增长,从这些数据中获取价值的研究和分析已经取得了进展。社交媒体是这些数据的主要贡献者,其中大部分是非结构化的。多媒体和移动设备的日益普及创造了一个过度增长的互联网络,人们在公共论坛、博客和社交网站上随时交流、分享意见。在这种背景下,Twitter已经成为分享个人想法和观点的主要平台,数百万用户每秒都在“发推文”,以产生持续涌入的实时数据。组织正在利用这些数据来衡量人们的普遍意见或情绪,并提出了用于情绪分析和意见挖掘的方法和技术。这已经成为一个活跃的研究领域,在各个领域都有广泛的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Twitter for Tapping Public Minds, Predict Trends and Generate Value
As the data sets in the world are growing at an exploding rate, research and analysis to derive value from this data has gained ground. Social media is a prime contributor to this data most of which is unstructured. The growing popularity of multimedia and mobile devices has created an overgrowing interconnected network where people are communicating on-the-go, sharing opinions on public forums, blogs, social networking websites. In this context, Twitter has emerged as a major platform to share one's ideas and opinions and millions of users are `tweeting' every second to generate a continuous influx of real-time data. Organizations are tapping into this data to gauge the general opinion or sentiment among the people and methods & techniques are being proposed for sentiment analysis & opinion mining. This has emerged as an active area of research and has a wide range of applications in every field.
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