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CrudeBERT

Text Classification

Inference Endpoints

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Captain-1337 commited on Sep 29, 2021

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@@ -7,7 +7,7 @@ The focus of this thesis deals with the task of research and development of stat
 CrudeBERT is a pre-trained NLP model to analyze sentiment of news headlines relevant to crude oil.
 It was developed by fine tuning [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/pdf/1908.10063.pdf).
-![CrudeBERT comparison_white](https://user-images.githubusercontent.com/42164041/135240115-3e3964d1-87fb-47ac-bbe3-6a1a3c2ab057.png)
 Performing sentiment analysis on the news regarding a specific asset requires domain adaptation.
 Domain adaptation requires training data made up of examples with text and its associated polarity of sentiment.

 CrudeBERT is a pre-trained NLP model to analyze sentiment of news headlines relevant to crude oil.
 It was developed by fine tuning [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/pdf/1908.10063.pdf).
+![CrudeBERT comparison_white_2](https://user-images.githubusercontent.com/42164041/135273552-4a9c4457-70e4-48d0-ac97-169daefab79e.png)
 Performing sentiment analysis on the news regarding a specific asset requires domain adaptation.
 Domain adaptation requires training data made up of examples with text and its associated polarity of sentiment.