This project aims to perform sentiment analysis on Amazon product reviews to extract valuable insights regarding customer opinions and satisfaction levels.

To set up the project environment, follow these steps:

1. Clone the Repository: Clone this repository to your local machine using the following command:

git clone https://github.com/your-username/Amazon-Review-Sentiment-Analysis.git

2. Navigate to the Project Directory: Use the cd command to navigate into the project directory:

cd Amazon-Review-Sentiment-Analysis`

3. Create a Virtual Environment: Create a virtual environment to isolate project dependencies. Depending on your operating system, use one of the following commands:

• On macOS/Linux:

  python3 -m venv venv
  

• On Windows:

  python -m venv venv
  

4. Activate the Virtual Environment: Activate the virtual environment using the appropriate command:

• On macOS/Linux:

  source venv/bin/activate
  

• On Windows:

  venv\Scripts\activate
  

5. Install Dependencies: Install the required Python dependencies using pip:

pip install -r requirements.txt`

6. Connect to reviewNB (Optional): Connect GitHub account to ReviewNB to help see changes between commits rather than the packaged json changes.

The link to the dataset from 2018.

Steps to download datset:

1. Navigate to the website and scroll down to the Files category.
2. In the Per-category data section, download the 'Amazon Fashion' reviews dataset (the one with 883,636 reviews).
3. Once downloaded, paste the .gz file into the data directory.