Comment on LLM-based sentiment analysis of Hacker News posts between Jan 2020 and June 2023parentComments−vtuulos2yI had the same concern. However, the structure of the output was surprisingly stable. We rejected badly formatted responses: https://github.com/outerbounds/hacker-news-sentiment/blob/ma...The semantics of the topics/tags could be improved for sure with a more detailed prompt
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I had the same concern. However, the structure of the output was surprisingly stable. We rejected badly formatted responses: https://github.com/outerbounds/hacker-news-sentiment/blob/ma...
The semantics of the topics/tags could be improved for sure with a more detailed prompt