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

Klasifikasi Komponen Argumen Secara Otomatis pada Dokumen Teks berbentuk Esai Argumentatif