Choosing the right F1 score for sentiment classification by an Automatic Speech Recognition LLM

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The Context - My team and I just released a Conversational Intelligence platform that businesses can use to drive increased customer satisfaction. It records each incoming / outgoing call for an office, converts to text, and detects whether the customer sentiment for each call is happy, or unhappy, or neutral. We prompt an LLM to give us the classification. I'm the PM owning this platform.

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