Python Social Media Analytics

Key FeaturesAcquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and moreAnalyze and extract actionable insights from your social data using various Python toolsA highly practical guide to conducting efficient social media analytics at scaleBook DescriptionSocial 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 show you why it is important.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. You will also perform web scraping and visualize data using various tools such as plotly and matplotlib. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark.What you will learnUnderstand the basics of social media miningUse PyMongo to clean, store, and access data in MongoDBUnderstand user reactions and emotion detection on FacebookPerform Twitter sentiment analysis and entity recognition using PythonAnalyze video and campaign performance on YouTubeMine popular trends on GitHub and predict the next big technologyExtract conversational topics on public internet forumsAnalyze user interests on PinterestPerform large-scale social media analytics on the cloud

Author: Siddhartha Chatterjee

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