LN5user/sentiment-analysis-llm
How to use Large Language Model for Sentiment Analysis
This project helps e-commerce managers and product marketers understand customer sentiment from Amazon product reviews. It takes raw text reviews as input and classifies them by sentiment (positive, negative, or neutral), providing insights into what customers truly think about products. The output helps users quickly grasp overall customer satisfaction without manually reading countless reviews.
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Use this if you need to automatically categorize large volumes of customer reviews to gauge product sentiment and identify trends.
Not ideal if you require highly nuanced, domain-specific sentiment analysis beyond positive/negative/neutral, or if your review data is in a language not well-supported by general LLMs.
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Feb 23, 2024
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