GitHub - larmicha/Medium-Post-3-Computing-Twitter-Account-Similarity: This is an analysis of Twitter posts and account engagement metrics to uncover which regular accounts are most similar to popular accounts using cosine similarity. The data is from the Bright Data API and is wrangled by normalizing metrics by diving by follower count and then scaled using the MinMaxScaler() from sklearn.

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This is an analysis of Twitter posts and account engagement metrics to uncover which regular accounts are most similar to popular accounts using cosine similarity. The data is from the Bright Data API and is wrangled by normalizing metrics by diving by follower count and then scaled using the MinMaxScaler() from sklearn.

medium.com/inst414-data-science-tech/digital-doppelg%C3%A4ngers-using-euclidean-distance-to-map-twitter-similarity-3ab1eb14f799?postPublishedType=repub

data-science twitter scaling normalization