Perbandingan Kinerja Algoritme TextRank dengan Algoritme LexRank pada Peringkasan Dokumen Bahasa Indonesia

Abstract

Text summarization is an effective way to obtain information from a document without reading the whole document. Currently the small number of automatic text summarizations for Indonesian are available compared to those for other languages. This study develops an Indonesian automatic text summarization using the graph-based methods, the TextRank algorithm and the LexRank algorithm. It has been proven that the methods and the algorithms have good performance in summarizing texts for English. This work extracts about 25% of the total of sentences in the document. The kappa measure method is applied to evaluate the results of the two algorithms. The result based measure kappa on shows that the TextRank algorithm has better performance than the LexRank algorithm