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Author Russell, Matthew A. (Computer scientist), author.

Uniform Title Mining the social web. Chinese
Title She jiao wang zhan de shu ju wa jue yu fen xi : (yuan shu di san ban) = Mining the social web : data mining Facebook, Twitter, LinkedIn, Instagram, Github, and more / Matthew A. Russell, Mikhail Klassen zhu ; Su Tonghua, Guo Yong, Pan Wei yi. [O'Reilly electronic resource]
社交网站的数据挖掘与分析 : (原书第3 版) = Mining the social web : data mining Facebook, Twitter, LinkedIn, Instagram, Github, and more / Matthew A. Russell, Mikhail Klassen 著 ; 苏统华, 郭勇, 潘魏 译.

Edition Di 1 ban.
第1版.
Publication Info. Beijing : Ji xie gong ye chu ban she, 2021.
To Access:
Available on O'Reilly for Public Libraries
Bookmark link: https://library.naperville-lib.org:444/record=b3192757~S1
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Description 1 online resource : illustrations.
Series O'Reilly jing pin tu shu xi lie
O'Reilly 精品图书系列
O'Reilly jing pin tu shu xi lie.
O'Reilly 精品图书系列.
Summary Detailed summary in vernacular field.
本书指导你挖掘隐藏在Twitter、Facebook、LinkedIn、Instagram和GitHub等流行社交网站上的丰富数据。通过这本畅销指南，数据科学家、分析师和程序员将学习如何在Jupyter Notebook或者Docker容器中使用Python代码分析社交媒体中的真知灼见----哪些人正在通过社交媒体进行联系？他们正在谈论什么？他们目前身在何处？ 在本书的第一部分，每一章都聚焦社交网站生态的某个具体方面，囊括了各大主流社交网站，也包括了网页、博客和订阅源、邮箱、GitHub以及新增加的Instagram的内容。第二部分提供了实用指南，其中包括超过20个供挖掘Twitter数据之用的简短代码解决方案。 通过阅读本书，你将能够： 极速鸟瞰社交网站生态。 将每章的代码打包为Jupyter Notebook，并使用Docker轻松运行。 借用并活用开源GitHub代码库。 了解如何使用Python 3工具对收集的数据条分缕析。 使用先进的数据挖掘技术，如TF-IDF、余弦相似度、共现分析、团检测和图像识别。 借助Python和JavaScript工具包构建漂亮的数据可视化。.
Subject Data mining.
Online social networks.
Exploration de données (Informatique)
Réseaux sociaux (Internet)
Data mining
Online social networks
Added Author Klassen, Mikhail, author.
Su, Tonghua, translator.
苏统华, translator.
Guo, Yong, translator.
郭勇, translator.
Pan, Wei, translator.
潘魏, translator.
Added Title Mining the social web : data mining Facebook, Twitter, LinkedIn, Instagram, Github, and more
ISBN 9787111674047 (electronic bk.)
7111674049 (electronic bk.)
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