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.
|Number of pages||8|
|Journal||Procedia Computer Science|
|Publication status||Published - 1 Jan 2016|
|Event||5th Workshop on Spoken Language Technologies for Under-resourced languages, SLTU 2016 - Yogyakarta, Indonesia|
Duration: 9 May 2016 → 12 May 2016