Few-shot Financial Sentiment Classification — Does It Work?

Author(s): Neo Yi Peng

Originally published on Towards AI.

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The toughest thing in my data science career so far is not modeling, keeping up with the latest research, or even presenting complex ideas to non-technical folks, but getting the data cleaned and labeling done right — it’s a thankless job but crucial for the model to train and work. That’s why I was excited to learn about SetFit, a few-shot text classification regime introduced by Hugging Face/Intel/UKP labs.

Source: https://arxiv.org/abs/2209.11055

There have been many innovations since BERT, but this one stands out for its practical advantage — outperforming GPT3 in… Read the full blog for free on Medium.

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Published via Towards AI