Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More (3rd Edition)

Mine the abundant data hid in popular social sites such as Facebook, Twitter, Instagram and LinkedIn With the 3rd edition of this popular guide “Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More 3rd edition” experts, data researchers, and developers will find out how to obtain insights from social networks– including who’s getting in touch with whom, what they are speaking about, and where they lie– utilizing Jupyter note pads, Python code examples, or Docker containers. In part 1, each standalone chapter concentrates on one element of the social landscape, consisting of each of the significant social websites, in addition to blog sites, websites and feeds, GitHub, mail boxes, and a recently included chapter coveringInstagram Part 2 offers a cookbook with 2 lots bite-size dishes for fixing specific concerns withTwitter

• Get a simple summary of the social web landscape
• Adapt and add to the code’s open source GitHub repository
• Build gorgeous data visualizations with Python and JavaScript toolkits
• Learn how to utilize best-in-class Python 3 tools to slice and dice the data you gather
• Use Docker to quickly run each chapter’s example code, packaged as a Jupyter note pad
• Apply advanced mining strategies such as cosine resemblance, TFIDF, junction analysis, clique detection, and image acknowledgment