soleimanian
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financial-roberta-large-sentiment

Text Classification

Financial Statements

Earnings Call Transcripts

Corporate governance

Inference Endpoints

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soleimanian commited on May 16, 2022

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@@ -7,7 +7,7 @@ license: apache-2.0
 <h1><b>Financial-RoBERTa</b></h1>
 <p><b>Financial-RoBERTa</b> is a pre-trained NLP model to analyze sentiment of financial text including:</p>
-<ul style="PADDING-LEFT: 12px">
   <li>Financial Statements,</li>
   <li>Earnings Announcements,</li>
   <li>Earnings Call Transcripts,</li>
@@ -16,7 +16,7 @@ license: apache-2.0
   <li>Financial News,</li>
   <li>Etc.</li>
 </ul>
-<p>Financial-RoBERTa is built by further training and fine-tuning the RoBERTa Large language model using a large 10k, 10Q, 8K, Earnings Call Transcripts, CSR Reports, ESG News, and Financial News corpus.</p>
 </body>
 </html>

 <h1><b>Financial-RoBERTa</b></h1>
 <p><b>Financial-RoBERTa</b> is a pre-trained NLP model to analyze sentiment of financial text including:</p>
+<ul style="PADDING-LEFT: 40px">
   <li>Financial Statements,</li>
   <li>Earnings Announcements,</li>
   <li>Earnings Call Transcripts,</li>
   <li>Financial News,</li>
   <li>Etc.</li>
 </ul>
+<p>Financial-RoBERTa is built by further training and fine-tuning the RoBERTa Large language model using a large corpus created from 10k, 10Q, 8K, Earnings Call Transcripts, CSR Reports, ESG News, and Financial News text.</p>
 </body>
 </html>