/kaggle-stackoverflow2012

My entry to the Kaggle 2012 Stack Overflow competition. Ranked 10th on the final public leaderboard.

Primary LanguagePython

Code submission for Kaggle Stack Overflow challenge
Initial development was based on
http://fastml.com/predicting-closed-questions-on-stack-overflow/

And some of the code is derived from there. The data extraction (data2vw.py)
was rewritten from scratch, integrating the two scripts from the above post.

Another area I expanded was to automate the whole process using a Makefile, 
and additionally introducing cross-validation implemented entirely using
shell tools (GNU parallel was very useful).

I generated an expanded set of features, based on segmenting the documents
into code and non-code sections. The non-code section was further segmented
into sentences, and then into words (using NLTK). I also looked at some
metrics about the user, as well as some aspects of the sentence structure,
such as number of questions, exclamations etc.

Marco Lui <saffsd@gmail.com>, October-November 2012