LunarCRUSH trains machine learning algorithms to gather and access data to return back sentiment on that data. We then cross train the machines in a never ending cycle that allows for the most accurate return of data in the broadest data set available.

We hand train our machine learning based on crypto-specific data. We do not utilize standard natural language processing sentiment algorithms as we do not believe they correctly access the language used within the cryptocurrency community to express emotion.

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