Synopsis
Acquire and analyze data from all corners of the social web with Python
Key Features
• 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
Book Description
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.
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
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.
"synopsis" may belong to another edition of this title.
About the Author
Marco Bonzanini is an experienced Python developer who has been using the technology for web-based projects and data analytics projects, in the industry and academia, for several years. He is also experienced in the use of web-based APIs, in particular social media APIs. Marco holds a PhD in Information Retrieval.
"About this title" may belong to another edition of this title.
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Paperback. Condition: New. Acquire and analyze data from all corners of the social web with PythonAbout 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 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 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 productsIn DetailYour 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 approachThis 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. Seller Inventory # LU-9781783552016
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