Sentiment Analysis for Jumpstart Fashion Reviews

This project implements sentiment analysis for customer reviews using a fine-tuned DistilBERT model.

Features

• Fine-tuning of pre-trained transformer model on IMDB dataset
• Sentiment classification (positive/negative)
• Visualization of sentiment distribution
• Analysis of customer reviews

Setup

1. Install dependencies:

   pip install -r requirements.txt  
   

2. Run the Jupyter notebook:

   jupyter notebook sentiment_analysis_py.ipynb
   

Model

The model is not included in this repository due to size constraints. To use this project:

1. Run the notebook to train the model.
2. Save the trained model.
3. Replace the model path in the notebook.

Implemented with Streamlit