Mining pharmaceutical spam from Twitter
Chandra Shekar, Shruti Wakade, Kathy J. Liszka, Chien-Chung Chan · 2010
This paper presents a method of applying text mining techniques and data mining tools for pharmaceutical spam detection from Twitter data. A simple method based on a manually selected list of 65 pharmaceutical discriminating words is used for labeling spam training tweets. Preliminary experimental results show that J48 decision tree classifier has better performance over Naïve Bayesian algorithm.