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The tutorial teaches how to analyze social media debates using a network of mentions. By using a Twitter widget to retrieve tweets with the hashtag machine learning, a corpus is created. Pre-processing involves getting only @ mentions and using a tweet tokenizer. By adding a regular expression filter, only words starting with @ are kept. This process helps find the most popular account in the debate.
