I analyzed 571M Amazon reviews to find the most profanity-filled customer rants
A Burla cluster processed 275 GB of Amazon reviews using 1,000 CPUs, categorizing them by various expressions of extreme sentiment. The system can display raw content filtered for profanity, rants, and other intense reactions.
burla-cloud.github.io
2 min
4/27/2026
I analyzed 571M Amazon reviews to find the most profanity-filled customer rants
A Burla cluster processed 275 GB of Amazon reviews using 1,000 CPUs, categorizing them by various expressions of extreme sentiment. The system can display raw content filtered for profanity, rants, and other intense reactions.
burla-cloud.github.io
2 min
4/27/2026
I analyzed 571M Amazon reviews to find the most profanity-filled customer rants
A Burla cluster processed 275 GB of Amazon reviews using 1,000 CPUs, categorizing them by various expressions of extreme sentiment. The system can display raw content filtered for profanity, rants, and other intense reactions.
burla-cloud.github.io
2 min
4/27/2026
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