Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter

M. Choirul Rahmadan; Achmad Nizar Hidayanto; Dika Swadani Ekasari; Betty Purwandari; Theresiawati

doi:10.1109/ICIMCIS51567.2020.9354320

Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter

M. Choirul Rahmadan, Achmad Nizar Hidayanto, Dika Swadani Ekasari, Betty Purwandari, Theresiawati

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Citations (Scopus)

Abstract

The widespread use of social media makes people tend to offer various information and opinions via Twitter. One of them is related to the flood disaster that occurred in Jakarta. This study aims to analyze the sentiment shown by the public when floods occur using a lexicon-based approach. Besides, this research also applies the topic modeling approached using the Latent Dirichlet Allocation (LDA) method to identify the topics discussed during the flood disaster. The results show that most opinions show negative sentiment with the topics discussed include information about the flooded areas, the impact of the flood disaster, conditions during the disaster, and feedback from the public to related parties of flood disaster management. The originality of this research lies in the use of the LDA method in modeling topics and analyzing sentiments related to the Jakarta flood disaster on social media.

Original language	English
Title of host publication	Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	126-130
Number of pages	5
ISBN (Electronic)	9781728191676
DOIs	https://doi.org/10.1109/ICIMCIS51567.2020.9354320
Publication status	Published - 19 Nov 2020
Event	2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020 - Virtual, Jakarta, Indonesia Duration: 19 Nov 2020 → 20 Nov 2020

Publication series

Name	Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020

Conference

Conference	2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020
Country/Territory	Indonesia
City	Virtual, Jakarta
Period	19/11/20 → 20/11/20

Keywords

Latent Dirichlet Allocation
LDA
lexicon
sentimen
topic modelling

Access to Document

10.1109/ICIMCIS51567.2020.9354320

Cite this

Choirul Rahmadan, M., Nizar Hidayanto, A., Swadani Ekasari, D., Purwandari, B., & Theresiawati (2020). Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter. In Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020 (pp. 126-130). Article 9354320 (Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIMCIS51567.2020.9354320

Choirul Rahmadan, M. ; Nizar Hidayanto, Achmad ; Swadani Ekasari, Dika et al. / Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter. Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 126-130 (Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020).

@inproceedings{9bd4ab1e23d44af4aa01dad96935f1b7,

title = "Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter",

abstract = "The widespread use of social media makes people tend to offer various information and opinions via Twitter. One of them is related to the flood disaster that occurred in Jakarta. This study aims to analyze the sentiment shown by the public when floods occur using a lexicon-based approach. Besides, this research also applies the topic modeling approached using the Latent Dirichlet Allocation (LDA) method to identify the topics discussed during the flood disaster. The results show that most opinions show negative sentiment with the topics discussed include information about the flooded areas, the impact of the flood disaster, conditions during the disaster, and feedback from the public to related parties of flood disaster management. The originality of this research lies in the use of the LDA method in modeling topics and analyzing sentiments related to the Jakarta flood disaster on social media.",

keywords = "Latent Dirichlet Allocation, LDA, lexicon, sentimen, topic modelling",

author = "{Choirul Rahmadan}, M. and {Nizar Hidayanto}, Achmad and {Swadani Ekasari}, Dika and Betty Purwandari and Theresiawati",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020 ; Conference date: 19-11-2020 Through 20-11-2020",

year = "2020",

month = nov,

day = "19",

doi = "10.1109/ICIMCIS51567.2020.9354320",

language = "English",

series = "Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020",

address = "United States",

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Choirul Rahmadan, M, Nizar Hidayanto, A, Swadani Ekasari, D, Purwandari, B & Theresiawati 2020, Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter. in Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020., 9354320, Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 126-130, 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020, Virtual, Jakarta, Indonesia, 19/11/20. https://doi.org/10.1109/ICIMCIS51567.2020.9354320

Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter. / Choirul Rahmadan, M.; Nizar Hidayanto, Achmad; Swadani Ekasari, Dika et al.
Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 126-130 9354320 (Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter

AU - Choirul Rahmadan, M.

AU - Nizar Hidayanto, Achmad

AU - Swadani Ekasari, Dika

AU - Purwandari, Betty

AU - Theresiawati,

PY - 2020/11/19

Y1 - 2020/11/19

N2 - The widespread use of social media makes people tend to offer various information and opinions via Twitter. One of them is related to the flood disaster that occurred in Jakarta. This study aims to analyze the sentiment shown by the public when floods occur using a lexicon-based approach. Besides, this research also applies the topic modeling approached using the Latent Dirichlet Allocation (LDA) method to identify the topics discussed during the flood disaster. The results show that most opinions show negative sentiment with the topics discussed include information about the flooded areas, the impact of the flood disaster, conditions during the disaster, and feedback from the public to related parties of flood disaster management. The originality of this research lies in the use of the LDA method in modeling topics and analyzing sentiments related to the Jakarta flood disaster on social media.

AB - The widespread use of social media makes people tend to offer various information and opinions via Twitter. One of them is related to the flood disaster that occurred in Jakarta. This study aims to analyze the sentiment shown by the public when floods occur using a lexicon-based approach. Besides, this research also applies the topic modeling approached using the Latent Dirichlet Allocation (LDA) method to identify the topics discussed during the flood disaster. The results show that most opinions show negative sentiment with the topics discussed include information about the flooded areas, the impact of the flood disaster, conditions during the disaster, and feedback from the public to related parties of flood disaster management. The originality of this research lies in the use of the LDA method in modeling topics and analyzing sentiments related to the Jakarta flood disaster on social media.

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KW - LDA

KW - lexicon

KW - sentimen

KW - topic modelling

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U2 - 10.1109/ICIMCIS51567.2020.9354320

DO - 10.1109/ICIMCIS51567.2020.9354320

M3 - Conference contribution

AN - SCOPUS:85102203930

T3 - Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020

SP - 126

EP - 130

BT - Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020

Y2 - 19 November 2020 through 20 November 2020

ER -

Choirul Rahmadan M, Nizar Hidayanto A, Swadani Ekasari D, Purwandari B, Theresiawati. Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter. In Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 126-130. 9354320. (Proceedings - 2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020). doi: 10.1109/ICIMCIS51567.2020.9354320

Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter

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