Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec

Hapsari Wulandari; Nur Aini Rakhmawati

doi:10.1109/ICAMIMIA60881.2023.10427761

Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec

Hapsari Wulandari
, Nur Aini Rakhmawati^*

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

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

Abstract

Every legislative candidate registered for the 2019 General Election must fill out a variety of information, including their electoral district, name, place of birth, party, occupation, status, and goals. It is crucial for motivation and goals to be made public. As a result, we use the Author-Topic Model and Node2vec to evaluate and display the themes modeling in the 2019 General Election data. Only 5.084 of the 36.889 legislative candidate records collected through data crawling from 16 parties include motive and target. While the objective topic modeling creates themes like the role of a legislative member, local development, and national movement, the motivation topic modeling generates topics like education, economics, and welfare. Several parties share similar topics in their target and motivations.

Original language	English
Title of host publication	2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	501-506
Number of pages	6
ISBN (Electronic)	9798350309225
DOIs	https://doi.org/10.1109/ICAMIMIA60881.2023.10427761
Publication status	Published - 2023
Event	2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Lombok, Indonesia Duration: 14 Nov 2023 → 15 Nov 2023

Publication series

Name	2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

Conference

Conference	2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Country/Territory	Indonesia
City	Lombok
Period	14/11/23 → 15/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Author-Topic Model
Node2vec
general election

Access to Document

10.1109/ICAMIMIA60881.2023.10427761

Cite this

Wulandari, H., & Rakhmawati, N. A. (2023). Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec. In 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings (pp. 501-506). (2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAMIMIA60881.2023.10427761

Wulandari, Hapsari ; Rakhmawati, Nur Aini. / Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec. 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 501-506 (2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings).

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title = "Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec",

abstract = "Every legislative candidate registered for the 2019 General Election must fill out a variety of information, including their electoral district, name, place of birth, party, occupation, status, and goals. It is crucial for motivation and goals to be made public. As a result, we use the Author-Topic Model and Node2vec to evaluate and display the themes modeling in the 2019 General Election data. Only 5.084 of the 36.889 legislative candidate records collected through data crawling from 16 parties include motive and target. While the objective topic modeling creates themes like the role of a legislative member, local development, and national movement, the motivation topic modeling generates topics like education, economics, and welfare. Several parties share similar topics in their target and motivations.",

keywords = "Author-Topic Model, Node2vec, general election",

author = "Hapsari Wulandari and Rakhmawati, \{Nur Aini\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 ; Conference date: 14-11-2023 Through 15-11-2023",

year = "2023",

doi = "10.1109/ICAMIMIA60881.2023.10427761",

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series = "2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings",

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

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Wulandari, H & Rakhmawati, NA 2023, Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec. in 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings. 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 501-506, 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023, Lombok, Indonesia, 14/11/23. https://doi.org/10.1109/ICAMIMIA60881.2023.10427761

Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec. / Wulandari, Hapsari; Rakhmawati, Nur Aini.
2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 501-506 (2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings).

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

TY - GEN

T1 - Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec

AU - Wulandari, Hapsari

AU - Rakhmawati, Nur Aini

PY - 2023

Y1 - 2023

N2 - Every legislative candidate registered for the 2019 General Election must fill out a variety of information, including their electoral district, name, place of birth, party, occupation, status, and goals. It is crucial for motivation and goals to be made public. As a result, we use the Author-Topic Model and Node2vec to evaluate and display the themes modeling in the 2019 General Election data. Only 5.084 of the 36.889 legislative candidate records collected through data crawling from 16 parties include motive and target. While the objective topic modeling creates themes like the role of a legislative member, local development, and national movement, the motivation topic modeling generates topics like education, economics, and welfare. Several parties share similar topics in their target and motivations.

AB - Every legislative candidate registered for the 2019 General Election must fill out a variety of information, including their electoral district, name, place of birth, party, occupation, status, and goals. It is crucial for motivation and goals to be made public. As a result, we use the Author-Topic Model and Node2vec to evaluate and display the themes modeling in the 2019 General Election data. Only 5.084 of the 36.889 legislative candidate records collected through data crawling from 16 parties include motive and target. While the objective topic modeling creates themes like the role of a legislative member, local development, and national movement, the motivation topic modeling generates topics like education, economics, and welfare. Several parties share similar topics in their target and motivations.

KW - Author-Topic Model

KW - Node2vec

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M3 - Conference contribution

AN - SCOPUS:85186490679

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BT - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 14 November 2023 through 15 November 2023

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Wulandari H, Rakhmawati NA. Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec. In 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 501-506. (2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings). doi: 10.1109/ICAMIMIA60881.2023.10427761

Analysis of Legislative Candidate's Motivation and Target in General Election 2019 Using Author-Topic Model and Node2vec

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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