This project contains the code that builds baseline model for SNA Hackathon online challenge http://sh2014.org.

There are 3 scripts in R provided:

• prepare.R - Pre-processes content data and counts likes by post.
• features.R - Extracts basic text features.
• baseline.R - Builds baseline model.

Extract source data files into ./data/src/. There must be 3 files provided:

• test_content.csv
• train_content.csv
• train_likes.csv

The details on where to get source data might be found here

To build baseline model, run in command line:

git clone https://github.com/snahackathon/sh2014.git
cd ./sh2014
#<unzip data to ./data>
cd R
R --vanilla < prepare.R
R --vanilla < features.R
R --vanilla < baseline.R

You may now find baseline prediction for the test dataset in data/submit directory. Of course, it's only a baseline, so it doesn't pass threshold.

Submit your predictions on this page. And remember, sharing your code is prohibited by the rules of competition.

Good luck!