A DSPy-based LLM annotation pipeline creates a temporal fine-grained opinion knowledge base from StockTwits and Politifact text, with best F1 scores of 45.91 to 59.92 on source benchmark tests.
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Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models
A DSPy-based LLM annotation pipeline creates a temporal fine-grained opinion knowledge base from StockTwits and Politifact text, with best F1 scores of 45.91 to 59.92 on source benchmark tests.