Today we're going to use machine learning to make predictions about online comments. Online comment curation is a task that online news sites often struggle with. Using machine learning can help moderators scale-up their ability to identify and remove low quality comments, or identify and highlight high quality comments.
Background
- This tutorial assumes you have some basic knowledge of how to read and edit Python code. It uses Pandas as a data manipulation library, and Scikit Learn as the machine learning library.
Downloads
- Let's make sure our computers are setup first. If you haven't already, download and install Anaconda: https://www.anaconda.com/download/#macos
- Download the Jupyter Notebook for our project to a local folder on your computer. (Click the link and then download the version of the file using the "Raw" button)
- Download the data we're going to use for training and testing our machine learning. Save the data file in the same folder with the Jupyter Notebook for the project. (Click the link and then download from Dropbox)
Getting Going
- Once you have Anaconda installed, launch a Jupyter Notebook using the Anaconda Navigator graphical user interface.
- In the Jupyter Notebook navigate to the downloaded notebook for the project and open it. Instructions continue there ...