kb0rg / tf_idf

Term Frequency - Inverse Document Frequency: Practice Repo

Setup

1. If necessary, register for a Cloud9 IDE account. (http://c9.io/)
2. Sign into Cloud9 IDE. Create a new workspace.
   1. Name the workspace in the Workspace name field. For example: tf_idf. Add a description if you like.
   2. Set the repo in the Clone from Git or Mercurial URL field to https://github.com/WomenWhoCode/tf_idf.git.
   3. Click Create Workspace.
3. If necessary, open the workspace.
4. Prepare the Cloud9 virtual machine.
   1. sudo pip3 install -r requirements.txt
   2. Download the NLTK sample corpora.
      1. python3
      2. import nltk
      3. nltk.download()
      4. Download the gutenberg corpus.
      5. Exit the Python interpreter (press Ctrl-D).

Development

1. Run python3 -m tf_idf.main to run the webserver to see results.