This repository contains data and notebooks for the SAKI_2019 Course Exercise #2. Clone these files to your computer and work through the notebooks to complete the exercise.
The exercise is divided up into three parts. The first two parts consist of 2 notebooks and can be executed locally on your laptop. The third part needs to be run in the cloud on a GPU on Google Colab. There are separate notebooks for that part of the exercise which will walk you through working with Google colab.
The first part of this exercise will be setting up your computer and python development environment. You will need to do the following:
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Install Python on your computer. We require python in version >= 3.6
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Install a development environment of your choice. Recommended is Pycharm community edition from Jetbrains
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clone this project to a folder of your choice.
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Create a python virtual environment in your project folder and activate the environment.
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install required dependencies into your virtual environment using pip. You will need to install jupyter notebook, numpy, pandas, and spacy. For spacy, please refer to: https://spacy.io/usage. We will be using the english model with spacy
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For part 3, you will be using flair nlp on google colab. The installation of flair happens on google colab and is part of the part 3 notebooks.