Social media analysis for Indonesian language: Case study flood in Jakarta

Putri Mega Oktafiani, Ainun Jariyah, Riri Fitri Sari, Hashimoto Takako

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Social media had become worldwide phenomena. More than 80% of Internet's users are social media's users. When a disaster occurred, information needs will rise. Twitter is one of popular information resource especially in Indonesia. Because of that, twitter's information extraction system was needed. This research proposes a system that can detect topic in social media twitter by representing its content as a complex network graph using the implementation of natural language processing, graph concept, and complex network analysis. This system consists of 3 subsystems which are crawler, graph converter, and application for graph visualization. From testing result, we reach 89% success rate of keyword extraction using RIDF term weighting method and collecting messages by certain category. General topic about governor election and 13 subtopics was successfully extracted from set data flood in Jakarta.

Original languageEnglish
Title of host publication2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
Pages161-166
Number of pages6
Publication statusPublished - 1 Dec 2012
Event2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
Duration: 1 Dec 20122 Dec 2012

Publication series

Name2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings

Conference

Conference2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012
Country/TerritoryIndonesia
CityDepok
Period1/12/122/12/12

Fingerprint

Dive into the research topics of 'Social media analysis for Indonesian language: Case study flood in Jakarta'. Together they form a unique fingerprint.

Cite this