| tags: | |
| - sentiment-analysis | |
| - bert | |
| - fine-tuned | |
| - custom-dataset | |
| # Sentiment Analysis Model for Eco-Friendly Tweets | |
| This is a fine-tuned BERT model for sentiment analysis, specifically trained on a synthetic dataset of eco-friendly tweets. | |
| ## Model Details | |
| This model is based on the `bert-base-uncased` architecture and has been fine-tuned on a custom dataset of 1000 synthetic tweets (500 positive, 500 negative) related to eco-friendly products and concepts. | |
| ## Training Data | |
| The model was trained on a synthetic dataset created for this purpose. The dataset consists of simple positive and negative statements about eco-friendly products, designed to be easily distinguishable. | |
| ## Usage | |
| You can use this model for sentiment analysis of text, particularly for text related to eco-friendly topics. | |