Comment on LLM-based sentiment analysis of Hacker News posts between Jan 2020 and June 2023Comments−anonu2yGreat analysis. How is divisiveness actually calculated?−ysofunny2ythe most divisive topic seems to be "gnome" with 0.82 on the divisiveness scalethat's really "hacker", a worthy first place−anonu2ymore like h4x0r−vtuulos2ysearch "divisive" here: https://github.com/outerbounds/hacker-news-sentiment/blob/ma...I actually spent 10 minutes trying to see if there are obvious tests for U-shaped distributions. I'd love to hear if anyone has ideas here.
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Great analysis. How is divisiveness actually calculated?
the most divisive topic seems to be "gnome" with 0.82 on the divisiveness scale
that's really "hacker", a worthy first place
more like h4x0r
search "divisive" here: https://github.com/outerbounds/hacker-news-sentiment/blob/ma...
I actually spent 10 minutes trying to see if there are obvious tests for U-shaped distributions. I'd love to hear if anyone has ideas here.