Using GPT-4 to generate training labels and a domain-adapted BERT encoder, the pipeline classifies review sentiment with 80.8 to 88.6 percent accuracy and no manual annotation.
Sentiment analysis: A survey on design framework, applications and future scopes,
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Lowering the Barrier of Machine Learning: Achieving Zero Manual Labeling in Review Classification Using LLMs
Using GPT-4 to generate training labels and a domain-adapted BERT encoder, the pipeline classifies review sentiment with 80.8 to 88.6 percent accuracy and no manual annotation.