LEADER 00000cam a2200661Ii 4500 001 955130814 003 OCoLC 005 20240129213017.0 006 m o d 007 cr cnu|||unuuu 008 160805s2016 enk o 000 0 eng d 019 957527049|a957597548|a962343395|a967854574|a1259223369 020 1783552026|q(electronic bk.) 020 9781783552023|q(electronic bk.) 029 1 DEBBG|bBV043970386 029 1 DEBSZ|b485808455 029 1 GBVCP|b882760947 029 1 AU@|b000067104919 029 1 AU@|b000058870977 029 1 AU@|b000064820896 035 (OCoLC)955130814|z(OCoLC)957527049|z(OCoLC)957597548 |z(OCoLC)962343395|z(OCoLC)967854574|z(OCoLC)1259223369 037 944167|bMIL 037 B507D71E-28FD-4855-83FD-1C443A8D8D39|bOverDrive, Inc. |nhttp://www.overdrive.com 040 IDEBK|beng|epn|cIDEBK|dTEFOD|dN$T|dUMI|dOCLCF|dYDX|dTOH |dSTF|dOCLCQ|dY$S|dDEBBG|dOCLCQ|dCEF|dKSU|dAGLDB|dG3B|dUAB |dIGB|dQGK|dOCLCO|dOCLCQ|dOCLCO 049 INap 082 04 005.13/3 082 04 005.13/3|223 100 1 Bonzanini, Marco,|eauthor. 245 10 Mastering social media mining with Python :|bacquire and analyze data from all corners of the social web with Python /|cMarco Bonzanini. 260 Birmingham, UK :|bPackt Publishing,|c[2016] 300 1 online resource. 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 347 text file 490 1 Community experience distilled 520 Acquire and analyze data from all corners of the social web with Python About This Book Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide Use this easy- to-follow, step-by-step guide to apply analytics to complicated and messy social data This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data Who This Book Is For This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data. What You Will Learn Interact with a social media platform via their public API with Python Store social data in a convenient format for data analysis Slice and dice social data using Python tools for data science Apply text analytics techniques to understand what people are talking about on social media Apply advanced statistical and analytical techniques to produce useful insights from data Build beautiful visualizations with web technologies to explore data and present data products In Detail Your social media is filled with a wealth of hidden data ? unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. Style and approach This practical, hands-on guide will help you learn everything you need to perform data mining for social media. Throughout the book, we take an example-oriented approach to use Python for data analysis and provide useful tips and tricks that you can use in day-to-day tasks. 588 0 Online resource; title from PDF title page (EBSCO, viewed August 31, 2016). 590 O'Reilly|bO'Reilly Online Learning: Academic/Public Library Edition 650 0 Python (Computer program language) 650 0 Data mining. 650 6 Python (Langage de programmation) 650 6 Exploration de données (Informatique) 650 7 Data mining|2fast 650 7 Python (Computer program language)|2fast 776 08 |iPrint version:|aBonzanini, Marco.|tMastering social media mining with Python.|dBirmingham, UK : Packt Publishing, [2016]|z1783552018|z9781783552016 |w(OCoLC)948336110 830 0 Community experience distilled. 856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https:// learning.oreilly.com/library/view/~/9781783552016/?ar 938 EBSCOhost|bEBSC|n1295360 938 ProQuest MyiLibrary Digital eBook Collection|bIDEB |ncis34514600 938 YBP Library Services|bYANK|n13129707 994 92|bJFN