Topic Summarization of Microblog Document in Bahasa Indonesia using the Phrase Reinforcement Algorithm

Meganingrum Arista Jiwanggi, Mirna Adriani

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

Microblog topic summarization is a part of the challenges to automatically find a topic of any group of microblog posts. This study focused on summarizing Twitter data in Bahasa Indonesia. The main algorithm used in this research is The Phrase Reinforcement Algorithm. This algorithm summarized a group of tweets discussing similar topics using a semi-abstractive approach. As a result of some initial experiments during this study, there are some variations applied in order to obtain summary with a better quality. The evaluation is conducted using human assessment and more than 60% agreed that the summaries have the good grammatical, readability, and informative quality.

Original languageEnglish
Pages (from-to)229-236
Number of pages8
JournalProcedia Computer Science
Volume81
DOIs
Publication statusPublished - 1 Jan 2016
Event5th Workshop on Spoken Language Technologies for Under-resourced languages, SLTU 2016 - Yogyakarta, Indonesia
Duration: 9 May 201612 May 2016

Keywords

  • microblog
  • summarization
  • topic
  • twitter

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