README.md

metadata

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.