Mining the Social WebData Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More【電子書籍】[ Matthew A. Russell ]
＜p＞Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social mediaーincluding who’s connecting with whom, what they’re talking about, and where they’re locatedーusing Python code examples, Jupyter notebooks, or Docker containers.＜/p＞ ＜p＞In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter.＜/p＞ ＜ul＞ ＜li＞Get a straightforward synopsis of the social web landscape＜/li＞ ＜li＞Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook＜/li＞ ＜li＞Adapt and contribute to the code’s open source GitHub repository＜/li＞ ＜li＞Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect＜/li＞ ＜li＞Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition＜/li＞ ＜li＞Build beautiful data visualizations with Python and JavaScript toolkits＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。
※ご購入は、楽天kobo商品ページからお願いします。
※切り替わらない場合は、こちら をクリックして下さい。
※このページからは注文できません。
- 商品価格：3,890円
- レビュー件数：0件
- レビュー平均：0（5点満点）