This manual covers the comprehensive details of the O'Reilly Media publication, "Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites," authored by Matthew A. Russell. Published in 2011, this work delves into the practical application of extracting and analyzing valuable social data from major platforms. It is designed for individuals with a programming background seeking to understand and leverage the vast information available across the social web, offering insights into connection mapping, topic analysis, and location-based data.
The content within this manual is structured to guide users through various techniques for data mining across different social web environments, including blogs and email. It emphasizes the use of adaptable scripts and basic Python tools for harvesting data from social network APIs and subsequently analyzing it. The manual explores advanced mining techniques and the creation of interactive visualizations, serving as a resource for programmers, data analysts, and developers interested in social media intelligence.
Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, and Google+? This refreshed edition helps you discover who’s making connections with social media, what they’re talking about, and where they’re located. You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.
Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.
- Get a straightforward synopsis of the social web landscape
- Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+
- Learn how to employ easy-to-use Python tools to slice and dice the data you collect
- Explore social connections in microformats with the XHTML Friends Network
- Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
- Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits
"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data."
--Alex Martelli, Senior Staff Engineer, Google
Author: Russell, Matthew A.
Publisher: O'Reilly Media
Illustration: N
Language: ENG
Title: Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
Pages: 00356 (Unencrypted EPUB)
On Sale: 2011-01-14
SKU-13/ISBN: 9781449388348
Category: Computers : Programming - General
Category: Computers : Web - Social Networking
Category: Computers : Software Development & Engineering - General
Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, and Google+? This refreshed edition helps you discover who’s making connections with social media, what they’re talking about, and where they’re located. You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.
Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.
- Get a straightforward synopsis of the social web landscape
- Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+
- Learn how to employ easy-to-use Python tools to slice and dice the data you collect
- Explore social connections in microformats with the XHTML Friends Network
- Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
- Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits
"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data."
--Alex Martelli, Senior Staff Engineer, Google
Author: Russell, Matthew A.
Publisher: O'Reilly Media
Illustration: N
Language: ENG
Title: Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
Pages: 00356 (Unencrypted EPUB)
On Sale: 2011-01-14
SKU-13/ISBN: 9781449388348
Category: Computers : Programming - General
Category: Computers : Web - Social Networking
Category: Computers : Software Development & Engineering - General
