Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more free ebook download.

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Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more free ebook download

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Python

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Catalogue

Author(s):	Siddhartha Chatterjee, Michal Krystyanczuk

Date:	2017	Format:	pdf	Language:	English	ISBN/ASIN:	B01MXL4UYG
Pages:	527	OCR:		Quality:		ISBN13:
Uploader:	rubybook	Upload Date:	8/28/2023 10:03:25 PM

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Leverage the power of Python to collect, process, and mine deep insights from social media data
About This BookAcquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more
Analyze and extract actionable insights from your social data using various Python tools
A highly practical guide to conducting efficient social media analytics at scale
Who This Book Is ForIf you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.
What You Will LearnUnderstand the basics of social media mining
Use PyMongo to clean, store, and access data in MongoDB
Understand user reactions and emotion detection on Facebook
Perform Twitter sentiment analysis and entity recognition using Python
Analyze video and campaign performance on YouTube
Mine popular trends on GitHub and predict the next big technology
Extract conversational topics on public internet forums
Analyze user interests on Pinterest
Perform large-scale social media analytics on the cloud
In DetailSocial Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business.
Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup.
Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.
Style and approachThis book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3198650	Download	https://nitroflare.com/view/D52FB03255E4...		12.00	rubybook

Tags: Analytics Analyze data GitHub Media Python Social Twitter visualize YouTube

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