Business Sentiment Analyzer

Business analytics hub based in Django with a SQLite3 database. Yelp Review sentiment analysis supported through PyTorch, Hugging Face Transformers and pre-trained BERT model. Data parsed using BeautifulSoup.
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Table of Contents

1. About The Project
   • Built With
2. Usage
3. Getting Started
   • Installation
4. Contact
5. Acknowledgments

About The Project

This Business Sentiment Analyzer application hosted through a robust Django web framework helps inform the way businesses interpret customer feedback. This application seamlessly integrates natural langugae processing techniques using PyTorch, Hugging Face Transformers, and a pre-trained BERT model for accurate sentiment analysis. A SQLite3 database stores business analytics and Django's ORM Model GUI allows for easy admin accessible CRUD operations. A JupyterLab file is provided for further analysis using pandas dataframes and numpy.

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Built With

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Usage

Main Dashboard

Business Review Analytics

Admin Dashboard and Database Management

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Getting Started

To get a local copy up and running follow these simple example steps.

Installation

1. Clone the repo

   git clone https://github.com/pakuang/reviewSentiment.git

2. Install dependencies in rproject oot directory

   pip3 install torch torchvision torchaudio
   pip3 install transformers requests beautifulsoup4 pandas numpy

3. Enter your SECRET_KEY in .env

    SECRET_KEY= #Enter secret key here

4. Run the development server in project directory:

   python3 manage.py runserver

5. Open given development server with your browser to see the result.

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Contact

Pansy Kuang - LinkedIn - kuangpansy@gmail.com

Project Link: https://github.com/pakuang/employeeMS

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