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sentiment-classification's Introduction

Sentiment Classification using BERT model (Pytorch, FastAPI, MongoDB & Jinja2)

Tasks

  • Preprocessing data
    • Loading data.
    • Bert tokenizing.
  • Building model
    • Load Bert-based model and config with Dropout & Linear layers at last.
    • Override forward function.
  • Training
    • Define criterion, optimizer.
    • Execute (train, validate).
    • Early stopping.
    • Save model.
  • Evaluating
    • Accuracy: approx 93% on test set.

Installation

Clone the repo from Github and pull the project.

git clone https://github.com/hanahh080601/Sentiment-Classification.git
git checkout front-end (if necessary: includes UI)
git pull
cd sentiment-classification/sentiment-classification
poetry install
poetry config virtualenvs.in-project true
poetry update

Project tree

.  
├── sentiment-classification            
│     ├── .venv               
│     ├── poetry.lock      
│     ├── pyproject.toml     
│     ├── README.rst    
│     └── sentiment-classification      
│           ├── database              
│           │      ├── __init__.py       
│           │      └── database.py                 
│           ├── models          
│           │      ├── bert.py      
│           │      ├── best_model.pt (not pushed)        
│           │      └── comment.py        
│           ├── predict         
│           │      ├── __init__.py       
│           │      └── train.py     
│           ├── routes                
│           │      └── comment.py     
│           ├── schemas                
│           │      └── comment.py    
│           ├── static                
│           │      └── style.css    
│           ├── templates                
│           │      └── index.html     
│           ├── notebooks         
│           │      ├── Sentiment-Classification.ipynb        
│           │      └── test.ipynb         
│           ├── __init__.py  
│           ├── main.py         
│           └── config    
│                  ├── config.py              
│                  └── mongodb.py    
├── tests           
│     ├── __init__.py            
│     └── test_sentiment_classification.py             
├── .gitignore                         
└── README.md       

Usage:

cd sentiment-classification/sentiment-classification
uvicorn main:app --reload

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

Author

Lê Hoàng Ngọc Hân - Đại học Bách Khoa - Đại học Đà Nẵng (DUT)

sentiment-classification's People

Contributors

hanahh080601 avatar dependabot[bot] avatar

Watchers

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Forkers

temnguyen

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