SaltyGod/Qwen-Qlora-ACSA
qwen-1.5-1.8B sentiment analysis with prompt optimization and qlora fine-tuning
This project helps businesses understand customer feedback by analyzing restaurant reviews. It takes raw text reviews and determines the emotional tone across 18 specific categories, like 'Food#Taste' or 'Service#Hospitality'. This is useful for product managers, marketing analysts, or restaurant owners who want detailed insights into what customers like or dislike.
No commits in the last 6 months.
Use this if you need to perform detailed, multi-faceted sentiment analysis on customer reviews to pinpoint specific areas for improvement or marketing focus.
Not ideal if you're looking for a simple 'positive/negative' sentiment score or if your reviews aren't about specific aspects like those provided.
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Language
Python
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Last pushed
May 07, 2024
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