Python Social Media Analytics

Summary

Harnessing social data is of vital importance for any worthwhile application. Public data from social media APIs is messy, noisy, and voluminous, and requires a precise and smart strategy to keep the surface away from the noise. The first step in harnessing social data is to collect it by following the steps to connect it to various RESTful APIs and following authentication techniques. Each social network has variations of its API but the basic rules of app creation and authentication remain a common method. Once we successfully make connection to an API we need to parse the JSON data that is collected. The data arriving at the programmers end through the APIs need to be cleaned through basic text mining such as tokenization, duplicate ...