Political Sentiment Analysis of Facebook Comments using Boosting Algorithm.

Status: Under Construction.

###Description

• Sentiment Classification of Facebook comments using boosting algorithm.
• Use sets of positive and negative keywords as features for the machine learning algorithm.
• Boosting Algorithm was implemented in q/kdb+(http://www.kx.com).
• Facebook's data fetched using java REST API(http://restfb.com).

###How to run this:

Will add instruction later when finished with the codes.

References:

1. Alistair Kennedy and Diana Inkpen. 2006. Sentiment Classification of Movie Reviews Using Contextual Valence Shifters. In Computational Intelligence.
2. Yoav Freund and Robert E. Schapire. 1995. A decision-theoretic generalization of on- line learning and an application to boosting. In Computational Learning Theory: Second European Conference, EuroCOLT 95, pages 2337, Springer-Verlag.