Identifying trolls and bots on Reddit with machine learning (Part 2) - Identificando trolls y bots en reddit con Machine Learning

1

Scikit-learn

Our next step is to create a new machine learning model based on this list. We’ll use Python’s excellent scikit learn framework to build our model. We’ll store our training data into two data frames: one for the set of features to train in and the second with the desired class labels. We’ll then split our dataset into 70% training data and 30% test data.

#Data Science And Machine Learning #Data Science Tools #Python Tools 27 social mentions

2

Heroku

{ “prediction”: “Is a bot user” }We deployed our API on Heroku because it makes it very easy to run. We just create a Procfile with a single line telling Heroku which file to use for the web server.

#Cloud Computing #Cloud Hosting #VPS 71 social mentions

3

Flask

To serve our API, we used Flask, which is a lightweight web framework for Python. When we load our machine learning model, the server starts. When it receives a POST request containing a JSON object with the comment data, it responds back with the prediction.

#Python Web Framework #Web Frameworks #Developer Tools 42 social mentions