Preface

Social media in the last decade has taken the world by storm. Billions of interactions take place around the world among the different users of Facebook, Twitter, YouTube, online forums, Pinterest, GitHub, and others. All these interactions, either captured through the data provided by the APIs of these platforms or through custom crawlers, have become a hotbed of information and insights for organizations and scientists around the world. Python Social Media Analytics has been written to show the most practical means of capturing this data, cleaning it, and making it relevant for advanced analytics and insight hunting. The book will cover basic to advanced concepts for dealing with highly unstructured data, followed by extensive analysis and conclusions to give sense to all of the processing.