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

Meganingrum Arista Jiwanggi; Mirna Adriani

doi:10.1016/j.procs.2016.04.054

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

Meganingrum Arista Jiwanggi, Mirna Adriani

Department of Computer Science

Research output: Contribution to journal › Conference article › peer-review

7 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 language	English
Pages (from-to)	229-236
Number of pages	8
Journal	Procedia Computer Science
Volume	81
DOIs	https://doi.org/10.1016/j.procs.2016.04.054
Publication status	Published - 2016
Event	5th Workshop on Spoken Language Technologies for Under-resourced languages, SLTU 2016 - Yogyakarta, Indonesia Duration: 9 May 2016 → 12 May 2016

Keywords

microblog
summarization
topic
twitter

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10.1016/j.procs.2016.04.054

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title = "Topic Summarization of Microblog Document in Bahasa Indonesia using the Phrase Reinforcement Algorithm",

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.",

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author = "Jiwanggi, {Meganingrum Arista} and Mirna Adriani",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.; 5th Workshop on Spoken Language Technologies for Under-resourced languages, SLTU 2016 ; Conference date: 09-05-2016 Through 12-05-2016",

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AU - Jiwanggi, Meganingrum Arista

AU - Adriani, Mirna

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - microblog

KW - summarization

KW - topic

KW - twitter

UR - http://www.scopus.com/inward/record.url?scp=84976402670&partnerID=8YFLogxK

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DO - 10.1016/j.procs.2016.04.054

M3 - Conference article

AN - SCOPUS:84976402670

SN - 1877-0509

VL - 81

SP - 229

EP - 236

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 5th Workshop on Spoken Language Technologies for Under-resourced languages, SLTU 2016

Y2 - 9 May 2016 through 12 May 2016

ER -

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

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Keywords

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