From 6f8b7ad1d5e8c0ecbad4718c21c8687a6a292086 Mon Sep 17 00:00:00 2001 From: Dogu Araci Date: Thu, 24 Dec 2020 13:02:57 +0000 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 24fbaaf..6829aff 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,6 @@ widget: - text: "Stocks rallied and the British pound gained." --- -FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. For the details, please see [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/abs/1908.10063). +FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (2014) is used for fine-tuning. For more details, please see [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/abs/1908.10063). The model will give softmax outputs for three labels: positive, negative or neutral. \ No newline at end of file