https://github.com/sdgjlbl/nlp-workshop

Beginner tutorial for Natural Language Processing
https://github.com/sdgjlbl/nlp-workshop

jupyter-notebook machine-learning natural-language-processing

Last synced: 15 days ago
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Beginner tutorial for Natural Language Processing

• Host: GitHub
• URL: https://github.com/sdgjlbl/nlp-workshop
• Owner: SdgJlbl
• License: mit
• Created: 2018-08-30T14:45:53.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-09-25T09:34:54.000Z (over 6 years ago)
• Last Synced: 2024-11-11T09:50:07.361Z (2 months ago)
• Topics: jupyter-notebook, machine-learning, natural-language-processing
• Language: Jupyter Notebook
• Size: 4.51 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# nlp-workshop

Beginner tutorial for Natural Language Processing

To run this tutorial, please install the environment, either using pip or conda.

1. For conda, install miniconda (instructions [here](https://conda.io/miniconda.html)). 

    Then run

    

    `conda env create -n nlp_tutorial -f requirements.yml`

    

    and

    `conda activate nlp_tutorial` to activate the environement. 

    Then run `jupyter notebook` to start the notebook.

2. For pip, create a virtual env, then:

    `pip install -r requirements.txt`.

    

    Then run `jupyter notebook` to start the notebook.

    

For the second and the third parts of the workshop, you will need the pretrained word2vec vectors that you can download [here](https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit).