%0 Journal Article
%T Free Model of Sentence Classifier for Automatic Extraction of Topic Sentences
%A M.L. Khodra
%A D.H. Widyantoro
%A E.A. Aziz
%A B.R. Trilaksono
%J ITB Journal of Information and Communication Technology
%D 2011
%I Institut Teknologi Bandung
%R 10.5614/itbj.ict.2011.5.1.2
%X This research employs free model that uses only sentential features without paragraph context to extract topic sentences of a paragraph. For finding optimal combination of features, corpus-based classification is used for constructing a sentence classifier as the model. The sentence classifier is trained by using Support Vector Machine (SVM). The experiment shows that position and meta-discourse features are more important than syntactic features to extract topic sentence, and the best performer (80.68%) is SVM classifier with all features.
%K automatic extraction
%K sentence classifier
%K SVM
%K topic sentence.
%U http://journal.itb.ac.id/download.php?file=C10176.pdf&id=776&up=10