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Comment on LLM-based sentiment analysis of Hacker News posts between Jan 2020 and June 2023

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>Use the tool below to explore various topics and the sentiments they evoke.

This is a cool phrase.

It is personally important as when I was asked in a panel interview @ -- They asked "what do you think Twitter is?

My response was "You're a global sentiment engine""

(There are a lot of conversations I'd love to have with the HN community with respect to our shared experiences, and weird history flipped-bits that exists in the minds of those who experienced that...

like threads of how linux came, or how xml was born through things I touched in a forrest gump way - and how there are so many stories from so many.

Speaking of Twitter, it would be very neat to be able to see a graph of sentiment over time if you select a term.

You could watch Twitter go from being a niche little new thing to popular to "twitter is trash" too popular to increasingly divisive to the purchase and rename to X to today.

> My response was "You're a global sentiment engine""

More like a sentiment engine for bot operators.

AboutSource Built by g1lg1l

Hackerly is an independent reader for Hacker News, built on the public HN API. Not affiliated with Y Combinator.