By Associate Professor Rodney Clarke

All major approaches used to analyse tweets (statistical and machine learning) proceed from the segmentation and classification of lexical items (words). An alternative approach involving computer-based grammars is rarely used because they do not scale well to the dimensions necessary for the analysis of PetaJakarta tweet traffic. All current approaches are syntactic and asemantic. They are incapable of addressing questions concerning how citizens are actually using social media platforms during emergencies because they are incapable of explaining how language is structured for use. Continue reading →