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Sentiment Analysis using BERT

Overview

This repository contains a Jupyter Notebook implementing sentiment analysis using BERT (Bidirectional Encoder Representations from Transformers). The analysis focuses on Trustpilot reviews, aiming to extract sentiment insights from the text data, and score the review from 1 to 5..

Notebook Content

Sentiment Analysis Notebook: The main component of this repository is the Jupyter Notebook, which details the process of sentiment analysis using BERT. It includes sections for importing dependencies, scraping Trustpilot reviews, preprocessing the data, model training using BERT, and evaluating the sentiment analysis results.

Prerequisites

To run the notebook locally, you'll need the following dependencies:

Python 3.x Jupyter Notebook Libraries such as PyTorch, Transformers, and BeautifulSoup for web scraping

License

This project is licensed under the MIT License - see the LICENSE file for details.

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