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All Journal JURNAL ILMIAH INFORMATIKA
Bangun Hyolister Tambun
Universitas Kristen Indonesia
Computer Science & IT

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SEGMENTASI DOKUMEN TEKS DENGAN METODE TEXTTILING Chintalya Magdalena; Bangun Hyolister Tambun
JURNAL ILMIAH INFORMATIKA Vol 10 No 01 (2022): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v10i01.4509

Abstract

In this paper, we will report our work on text segmentation on Indonesian speech documents. As a result of using Automatic Speech Recognition (ASR), the speech documents are transcribed into the text without any boundary for each document. The documents are certainly needed to be segmented regarding to its topics. We apply TextTiling method with various term weighted techniques such as TF-IDF, TF-IDF-Mutual Information, TF-IDF Mutual Information-Word Similarity, and TF-IDF-Word Frequency for measuring the similarity between segments. The result show TF-IDF-Mutual Information performed better in most of the collections.
Co-Authors Chintalya Magdalena