The right hashtags can be the difference between a successful marketing campaign and talking to yourself online, but you can’t read 300 million tweets just to know what’s trending. That’s why Hootsuite’s machine learning team developed a service to suggest hashtags while drafting a social media post.

TLDR:

We represent hashtags and words as vectors. Think of a vector as a location. When we take in text we convert each word into a vector, sum them up, and average them together to get a vector that represents the message. Our suggested hashtags are the hashtags whose embedding vector is closest…

Tobias Carryer

Joined Hootsuite's iOS team in his summer between high school and first year Computing at Queen's University. Came back next summer to work on the ML team.

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