Twitter Data Analytics

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Data Mining and Machine Learning Lab

School of Computing, Informatics, and Decision Systems Engineering

Arizona State University

出版者:Springer
作者:Shamanth Kumar
出品人:
页数:88
译者:
出版时间:2013-11-12
价格:GBP 44.99
装帧:Paperback
isbn号码:9781461493716
丛书系列:
图书标签:
  • Twitter 
  • 社交网络分析 
  • SNA 
  • 计算机 
  • 编程 
  • 数据分析 
  • 可视化 
  • 互联网 
  •  
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Social media has become a major platform for information sharing. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build realworld applications. This book takes a reader through the process of harnessing Twitter data to find answers to intriguing questions. We begin with an introduction to the process of collecting data through Twitter's APIs and proceed to discuss strategies for curating large datasets. We then guide the reader through the process of visualizing Twitter data with realworld examples, present challenges and complexities of building visual analytic tools, and provide strategies to address these issues. We show by example how some powerful measures can be computed using various Twitter data sources. This book is designed to provide researchers, practitioners, project managers, and graduate students new to the field with an entry point to jump start their endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.

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能做到简单介绍原理,想拓展可以自己深入查阅相关知识。感觉比之前那本 Twitter 数据分析细节更多。还是太浅,例子太老了。

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导引性质的小书,有代码是特点

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导引性质的小书,有代码是特点

评分

导引性质的小书,有代码是特点

评分

能做到简单介绍原理,想拓展可以自己深入查阅相关知识。感觉比之前那本 Twitter 数据分析细节更多。还是太浅,例子太老了。

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