  By automatically recognize argument component, essay writers can do some
inspections to texts that they have written. It will assist essay scoring
process objectively and precisely because essay grader is able to see how well
the argument components are constructed. Some reseachers have tried to do
argument detection and classification along with its implementation in some
domains. The common approach is by doing feature extraction to the text.
Generally, the features are structural, lexical, syntactic, indicator, and
contextual. In this research, we add new feature to the existing features. It
adopts keywords list by Knott and Dale (1993). The experiment result shows the
argument classification achieves 72.45% accuracy. Moreover, we still get the
same accuracy without the keyword lists. This concludes that the keyword lists
do not affect significantly to the features. All features are still weak to
classify major claim and claim, so we need other features which are useful to
differentiate those two kind of argument components.
