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Since we are getting closer to the French presidential election, and that I'm working on a project that involves using social media API and sentiment analysis, I've decide to post an example that will use these technologies to try and give an idea about each major candidate popularity. Solution description: 1. Collect social media information related to each candidate: For this example the main source is Twitter. 2. Extract sentiment for each Candidate from the Twitter posts collected previously. Implementation: For a quick implementation I decided to use python, but I'll definitely post a C# version as well. Code: 1. Twitter Client code: The code is pretty basic, I'm streaming the posts to a text file in son, by applying a list of filters; the names of the candidates I've decided to include: #Import the necessary methods from tweepy library from tweepy.streaming import StreamListener from tweepy import OAuthHandler from tweepy import Stream #Vari...