02024nam a22002297a 4500 20230109115025.0 230106b ||||| |||| 00| 0 eng d 9789352137695 AL eng 23 005.8 RUSM Matthew A Russell 68801 Mining the Social Web 3rd ed. New Delhi Shroff Publishers and distributors 2019 xxiv,399p. PB 23x18cm. General QWWC-19717 ₹875.00 ₹ ₹875.00 29-12-2022 All Indian reprints of O'Reilly are printed in grayscale.mine the rich data tucked away in popular social web sites such as Twitter, face book, linked in, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they're talking about, and where they're located—using Python code examples, Jupyter notebooks, or Docker containers.<Br> In part one, each stand alone. Chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blog and feeds, mailboxes, GitHub, and a newly added br>Chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. <Br> <beget a straightforward synopsis of the social web landscape Use Docker to easily run each chapter example code, packaged as a Jupiter notebookAdapt and contribute to the code’s open source GitHub repositoryLearn how to employ best-in-class Python 3 tools to slice and Dice the data you collectApply advanced mining techniques such as tfidf, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualisations with Python and JavaScript toolkit </br>. Computer programming, programs and data Computer programming 68986 Klassen Mikhail 68802 ddc BK 226314 226314 0 0 ddc 0 0 MAJMC SACPG SACPG 2023-01-06 Amazon.in 875.00 0 005.8 RUSM PG024144 2023-01-06 00:00:00 875.00 2023-01-06 BK