Sentiment Analysis of Amazon Product Reviews

Introduction

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

Setup

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.

Dataset

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.