推特上对批准《澎湖山岳地区法案》的情绪分析

Gary Dimitri Hamidi, Farida Afira Bestari, A. Situmorang, Nur Aini Rakhmawati
{"title":"推特上对批准《澎湖山岳地区法案》的情绪分析","authors":"Gary Dimitri Hamidi, Farida Afira Bestari, A. Situmorang, Nur Aini Rakhmawati","doi":"10.28932/jutisi.v7i3.4051","DOIUrl":null,"url":null,"abstract":"Rancangan Undang-Undang Penghapusan Kekerasan Seksual (RUU PKS), or the bill of the Republic of Indonesia on the Elimination of Sexual Violence, is a bill that discusses sexual violence, victim protection and its scope concern the matters related to sexual violence. Elimination of sexual violence according to the PKS Bill aims to prevent all forms of violence. These discussions and conversations also occur on social media, especially on Twitter. Taking public sentiment is significant in choosing the proper messages, interference, and policy. Sentiment analysis is a field of study that analyses opinions, sentiments, judgments, evaluations of a person attitudes and emotions regarding a particular topic, service, product, individual, organization or activity. This study used the method of crawling to get data from Twitter. Then data cleansing, data processing is carried out using Bernoulli, Logistic Regression, and Support Vector Classification (SVC) algorithm. The data is then evaluated using three methods: accuracy, classification report, and confusion matrix. Based on the three algorithms used, it is found that all methods are equally accurate with 0.65. This study found positive, negative, and neutral sentiments expressed to the bill of Elimination of Sexual Violence through comments. It is shown that most people using the keyword “RUU PKS” are positive to the bill of Elimination of Sexual Violence (RUU PKS) while most people’s sentiments using #RUUPKSBukanSolusi are negative to the bill.","PeriodicalId":185279,"journal":{"name":"Jurnal Teknik Informatika dan Sistem Informasi","volume":"204 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Sentiment Analysis on the Ratification of Penghapusan Kekerasan Seksual Bill on Twitter\",\"authors\":\"Gary Dimitri Hamidi, Farida Afira Bestari, A. Situmorang, Nur Aini Rakhmawati\",\"doi\":\"10.28932/jutisi.v7i3.4051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rancangan Undang-Undang Penghapusan Kekerasan Seksual (RUU PKS), or the bill of the Republic of Indonesia on the Elimination of Sexual Violence, is a bill that discusses sexual violence, victim protection and its scope concern the matters related to sexual violence. Elimination of sexual violence according to the PKS Bill aims to prevent all forms of violence. These discussions and conversations also occur on social media, especially on Twitter. Taking public sentiment is significant in choosing the proper messages, interference, and policy. Sentiment analysis is a field of study that analyses opinions, sentiments, judgments, evaluations of a person attitudes and emotions regarding a particular topic, service, product, individual, organization or activity. This study used the method of crawling to get data from Twitter. Then data cleansing, data processing is carried out using Bernoulli, Logistic Regression, and Support Vector Classification (SVC) algorithm. The data is then evaluated using three methods: accuracy, classification report, and confusion matrix. Based on the three algorithms used, it is found that all methods are equally accurate with 0.65. This study found positive, negative, and neutral sentiments expressed to the bill of Elimination of Sexual Violence through comments. It is shown that most people using the keyword “RUU PKS” are positive to the bill of Elimination of Sexual Violence (RUU PKS) while most people’s sentiments using #RUUPKSBukanSolusi are negative to the bill.\",\"PeriodicalId\":185279,\"journal\":{\"name\":\"Jurnal Teknik Informatika dan Sistem Informasi\",\"volume\":\"204 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Teknik Informatika dan Sistem Informasi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.28932/jutisi.v7i3.4051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknik Informatika dan Sistem Informasi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28932/jutisi.v7i3.4051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

Rancangan Undang-Undang Penghapusan Kekerasan Seksual (RUU PKS),即印度尼西亚共和国关于消除性暴力的法案,是一项讨论性暴力,受害者保护及其范围的法案,涉及与性暴力有关的事项。根据PKS法案,消除性暴力的目的是防止一切形式的暴力。这些讨论和对话也发生在社交媒体上,尤其是在Twitter上。在选择适当的信息、干预和政策时,考虑公众情绪是非常重要的。情感分析是一个研究领域,分析一个人对特定主题、服务、产品、个人、组织或活动的态度和情感的观点、情感、判断、评估。本研究使用爬行的方法从Twitter获取数据。然后使用伯努利、逻辑回归和支持向量分类(SVC)算法对数据进行清洗和处理。然后使用三种方法对数据进行评估:准确性、分类报告和混淆矩阵。通过对三种算法的比较,发现三种算法的准确率均为0.65。通过对《消除性暴力法案》的评价,发现了积极、消极、中立的情绪。结果显示,使用关键词“RUU PKS”的大多数人对《消除性暴力法案》(RUU PKS)表示肯定,而使用关键词“#RUUPKSBukanSolusi”的大多数人对该法案表示否定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sentiment Analysis on the Ratification of Penghapusan Kekerasan Seksual Bill on Twitter
Rancangan Undang-Undang Penghapusan Kekerasan Seksual (RUU PKS), or the bill of the Republic of Indonesia on the Elimination of Sexual Violence, is a bill that discusses sexual violence, victim protection and its scope concern the matters related to sexual violence. Elimination of sexual violence according to the PKS Bill aims to prevent all forms of violence. These discussions and conversations also occur on social media, especially on Twitter. Taking public sentiment is significant in choosing the proper messages, interference, and policy. Sentiment analysis is a field of study that analyses opinions, sentiments, judgments, evaluations of a person attitudes and emotions regarding a particular topic, service, product, individual, organization or activity. This study used the method of crawling to get data from Twitter. Then data cleansing, data processing is carried out using Bernoulli, Logistic Regression, and Support Vector Classification (SVC) algorithm. The data is then evaluated using three methods: accuracy, classification report, and confusion matrix. Based on the three algorithms used, it is found that all methods are equally accurate with 0.65. This study found positive, negative, and neutral sentiments expressed to the bill of Elimination of Sexual Violence through comments. It is shown that most people using the keyword “RUU PKS” are positive to the bill of Elimination of Sexual Violence (RUU PKS) while most people’s sentiments using #RUUPKSBukanSolusi are negative to the bill.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信