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search "divisive" here: https://github.com/outerbounds/hacker-news-sentiment/blob/ma...
I actually spend 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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SaaSHub
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Is this just using LLM to be cool? How does pure LLM with simple "In the scale between 0-10"" stack up against traditional, battle-tested sentiment analysis tools?
Gemini suggests NLTK and spaCy
https://www.nltk.org/
https://spacy.io/
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Is this just using LLM to be cool? How does pure LLM with simple "In the scale between 0-10"" stack up against traditional, battle-tested sentiment analysis tools?
Gemini suggests NLTK and spaCy
https://www.nltk.org/
https://spacy.io/
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Can you run this tool on the removed posts dataset?
https://github.com/vitoplantamura/HackerNewsRemovals
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I'm working on something tangentially related [1] but by sourcing my Google search history data. It's surprising how LLaMA 3.1 8B is pulling most of the weight in my case too.
[1] https://github.com/enclaveid/enclaveid
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