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NLP_tagging

This project aims to acreate an NLP term tagger using RNN and CRF models.

How to install

  1. We recomend setting up a virtual environment (e.g. a conda venv https://anaconda.org/anaconda/conda)
  2. Clone the data-science repository:
git clone https://github.com/himsoklong/NLP_tagging.git
  1. Go into the project folder and install the needed packages with:
pip install -r requirements.txt

Note: Our experiment was run using jupyter notebook, thus you can run the code in the ipynb files.

  1. For the RNN model we used a pre-trained model named FastText which can be found in the Code folder.

How to use

Please refer to Jupyter notebook CRF_model or RNN_Model file in Code folder.

To use the virtual enviroment from Jupyter notebook run:

pip install --user ipykernel
python -m ipykernel install --user --name=myenv

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This project is about making NLP term tagging.

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