Mastering Social Media Mining with Python

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9781783552016: Mastering Social Media Mining with Python

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

Python is the programming language of choice for data scientists to prototype, visualize, and run data analyses on small- and medium-sized data sets. Countless businesses are turning to 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.

We will explore the Python libraries and cover each aspect of social media mining. We will teach you to develop data mining tools that use a social media API and how to create your own data analysis projects using Python.

"Sinopsis" puede pertenecer a otra edición de este libro.

About the Author:

Marco Bonzanini is a data scientist based in London, United Kingdom. He holds a PhD in information retrieval from Queen Mary University of London. He specializes in text analytics and search applications, and over the years, he has enjoyed working on a variety of information management and data science problems. He maintains a personal blog at http://marcobonzanini.com, where he discusses different technical topics, mainly around Python, text analytics, and data science. When not working on Python projects, he likes to engage with the community at PyData conferences and meetups, and he also enjoys brewing homemade beer.

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Marco Bonzanini
Editorial: Packt Publishing Limited, United Kingdom (2016)
ISBN 10: 1783552018 ISBN 13: 9781783552016
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Descripción Packt Publishing Limited, United Kingdom, 2016. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. de la librería AAV9781783552016

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Descripción Packt Publishing Limited, United Kingdom, 2016. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****. 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. Nº de ref. de la librería AAV9781783552016

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Descripción Packt Publishing 7/29/2016, 2016. Paperback or Softback. Estado de conservación: New. Mastering Social Media Mining with Python. Book. Nº de ref. de la librería BBS-9781783552016

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Descripción Packt Publishing - ebooks Account. Paperback. Estado de conservación: New. Paperback. 361 pages. Dimensions: 9.2in. x 7.5in. x 0.7in.Acquire and analyze data from all corners of the social web with PythonAbout This BookMake sense of highly unstructured social media data with the help of the insightful use cases provided in this guideUse this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social dataThis is your one-stop solution to fetching, storing, analyzing, and visualizing social media dataWho This Book Is ForThis 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 LearnInteract with a social media platform via their public API with PythonStore social data in a convenient format for data analysisSlice and dice social data using Python tools for data scienceApply text analytics techniques to understand what people are talking about on social mediaApply advanced statistical and analytical techniques to produce useful insights from dataBuild beautiful visualizations with web technologies to explore data and present data productsIn DetailPython is the programming language of choice for data scientists to prototype, visualize, and run data analyses on small- and medium-sized data sets. Countless businesses are turning to 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. We will explore the Python libraries and cover each aspect of social media mining. We will teach you to develop data mining tools that use a social media API and how to create your own data analysis projects using Python. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9781783552016

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Descripción Packt Publishing - ebooks Acco, 2017. Paperback. Estado de conservación: New. Never used! This item is printed on demand. Nº de ref. de la librería P111783552018

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