Dataset: Reddit Crypto Sentiment

Bradley Webb
Jun 14, 2022
Dataset: Reddit Crypto Sentiment

The Gamestop saga showed the power of social media sentiment — fueled by Discord memes and chatter on /r/WallStreetBets. So how do you know whether to buy the crypto dip or HODL?

We built a free dataset of Reddit crypto comments, labeled by sentiment, to help your machine learning models find out.

The sentiment analysis dataset

The dataset contains 1000 Reddit comments about crypto from Reddit, categorized according to Positive or Negative sentiment.

Download it here!


Here are some example Reddit comments from the dataset.

Positive Sentiment
Negative Sentiment

How we labeled it

Data Labeling Workforce

Labeling crypto sentiment can be surprisingly tricky. In order to do a good job, you need to understand the community and its jargon: what are diamond hands, tendies, and DCA? Does HODLing mean you’re a bull or a bear?

Unless you’re familiar with the crypto community, it’s difficult to label these! That’s why having data labelers with the right skills is essential to creating quality datasets.

For this project, we built a team of Surgers both interested in cryptocurrency and heavy Reddit users, who've worked on our other financial categorization and social media data labeling projects.


Here's a peek at our labeling UI. Our platform makes it fast to create new labeling jobs, whether through our API or our WYSIWYG editor.

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Bradley Webb

Bradley Webb

Bradley runs Surge AI's Product and Growth teams. He previously led Integrity and Data Operations teams at Facebook, and graduated from Dartmouth.

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