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:
- Alistair Kennedy and Diana Inkpen. 2006. Sentiment Classification of Movie Reviews Using Contextual Valence Shifters. In Computational Intelligence.
- 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.