final update-model-card
Browse files
README.md
CHANGED
|
@@ -10,6 +10,11 @@ tags:
|
|
| 10 |
|
| 11 |
# BERT Fine-tuned Financial Sentiment Analysis Model
|
| 12 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
This model is a Fine-Tuned version of BERT (bert-base-uncased)
|
| 14 |
It is designed to classify text into positive, neutral, and negative sentiments. The fine-tuning was performed using the Financial Phrase Bank dataset.
|
| 15 |
|
|
@@ -46,3 +51,4 @@ The following hyperparameters were used during training:
|
|
| 46 |
|
| 47 |
|
| 48 |
|
|
|
|
|
|
| 10 |
|
| 11 |
# BERT Fine-tuned Financial Sentiment Analysis Model
|
| 12 |
|
| 13 |
+
<div style="text-align:center;width:250px;height:250px;">
|
| 14 |
+
<img src="https://huggingface.co/Shaivn/Financial-Sentiment-Analysis/resolve/main/financial-sentiment-analysis-logo.png" alt="logo">
|
| 15 |
+
</div>
|
| 16 |
+
|
| 17 |
+
|
| 18 |
This model is a Fine-Tuned version of BERT (bert-base-uncased)
|
| 19 |
It is designed to classify text into positive, neutral, and negative sentiments. The fine-tuning was performed using the Financial Phrase Bank dataset.
|
| 20 |
|
|
|
|
| 51 |
|
| 52 |
|
| 53 |
|
| 54 |
+
This model is a part of my thesis: "A proposal of a Sentiment Analysis Model for Business Intelligence"
|