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INSTRUCTIONS.md

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Setup and Requirements

Ensure you have a version of Python3 installed by confirming that python -V outputs Python 3.*.*.

Open a terminal window and ensure that you are in the top directory of /src folder. Then:

  1. Run python -m venv env
  2. Run venv/Scripts/activate (Windows) or source venv/bin/activate (MacOS)
  3. Install all dependencies with pip install -r requirements.txt

To deactivate the virtual environment, run deactivate.

Generating Embedded Data

In this project we use latent embedding of strings to semantically represent each tweet as explained in more details on the project's main README.md file in the top directory. As such, we provide two out-of-the-box methods of content embedding:

  1. Tweet2Vec
  2. Medium Dataset Baseline

To generate these out-of-the-box embeddings, please refer to /tweet2vec/INTRUCTIONS.md file for details.

We also provide a copy of the tweet2vec library that allows you to train an embedding model from scratch for any given data.