Mining Social Media

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Publisher : No Starch Press
ISBN 13 : 1593279167
Total Pages : 210 pages
Book Rating : 4.65/5 ( download)

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Book Synopsis Mining Social Media by : Lam Thuy Vo

Download or read book Mining Social Media written by Lam Thuy Vo and published by No Starch Press. This book was released on 2019-11-25 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media. Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories. Learn how to: Write Python scripts and use APIs to gather data from the social web Download data archives and dig through them for insights Inspect HTML downloaded from websites for useful content Format, aggregate, sort, and filter your collected data using Google Sheets Create data visualizations to illustrate your discoveries Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library Apply what you've learned to research topics on your own Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.

Mining the Web

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Publisher : Morgan Kaufmann
ISBN 13 : 1558607544
Total Pages : 366 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis Mining the Web by : Soumen Chakrabarti

Download or read book Mining the Web written by Soumen Chakrabarti and published by Morgan Kaufmann. This book was released on 2002-10-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive book on mining the Web from the preeminent authority.

Data Mining the Web

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Publisher : John Wiley & Sons
ISBN 13 : 0470108088
Total Pages : 236 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Data Mining the Web by : Zdravko Markov

Download or read book Data Mining the Web written by Zdravko Markov and published by John Wiley & Sons. This book was released on 2007-04-06 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).

Web Mining and Social Networking

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Publisher : Springer Science & Business Media
ISBN 13 : 144197735X
Total Pages : 218 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis Web Mining and Social Networking by : Guandong Xu

Download or read book Web Mining and Social Networking written by Guandong Xu and published by Springer Science & Business Media. This book was released on 2010-10-20 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.

The Professional's Guide to Mining the Internet

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Publisher : Routledge
ISBN 13 : 1135726485
Total Pages : 151 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis The Professional's Guide to Mining the Internet by : Brian Clegg

Download or read book The Professional's Guide to Mining the Internet written by Brian Clegg and published by Routledge. This book was released on 2005-10-20 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whatever is needed, from in-depth research material for a report or academic paper, to the telephone number of a company on the other side of the world or what is showing at the local cinema, this guide aims to help readers find the answer on the internet, faster and more easily.

The Professional's Guide to Mining the Internet

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Publisher : Psychology Press
ISBN 13 : 0749436557
Total Pages : 151 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis The Professional's Guide to Mining the Internet by : Brian Clegg

Download or read book The Professional's Guide to Mining the Internet written by Brian Clegg and published by Psychology Press. This book was released on 2001 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.

Mining the World Wide Web

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Publisher : Springer Science & Business Media
ISBN 13 : 1461516390
Total Pages : 180 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Mining the World Wide Web by : George Chang

Download or read book Mining the World Wide Web written by George Chang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.

Mining the Social Web

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449388345
Total Pages : 356 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Mining the Social Web by : Matthew Russell

Download or read book Mining the Social Web written by Matthew Russell and published by "O'Reilly Media, Inc.". This book was released on 2011-01-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you 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, and LinkedIn 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 "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "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

Internet of Things and Data Analytics Handbook

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Publisher : John Wiley & Sons
ISBN 13 : 1119173639
Total Pages : 812 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Internet of Things and Data Analytics Handbook by : Hwaiyu Geng

Download or read book Internet of Things and Data Analytics Handbook written by Hwaiyu Geng and published by John Wiley & Sons. This book was released on 2016-12-15 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book: Examines cloud computing, data analytics, and sustainability and how they relate to IoT overs the scope of consumer, government, and enterprise applications Includes best practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).

Web Searching and Mining

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Publisher : Springer
ISBN 13 : 9811330530
Total Pages : 166 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Web Searching and Mining by : Debajyoti Mukhopadhyay

Download or read book Web Searching and Mining written by Debajyoti Mukhopadhyay and published by Springer. This book was released on 2018-12-12 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the basics of search engines and their components. It introduces, for the first time, the concept of Cellular Automata in Web technology and discusses the prerequisites of Cellular Automata. In today’s world, searching data from the World Wide Web is a common phenomenon for virtually everyone. It is also a fact that searching the tremendous amount of data from the Internet is a mammoth task – and handling the data after retrieval is even more challenging. In this context, it is important to understand the need for space efficiency in data storage. Though Cellular Automata has been utilized earlier in many fields, in this book the authors experiment with employing its strong mathematical model to address some critical issues in the field of Web Mining.