• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Cyber and IT Service Management >Comparison of SVM Na?ve Bayes Algorithm for Sentiment Analysis Toward West Java Governor Candidate Period 2018-2023 Based on Public Opinion on Twitter
【24h】

Comparison of SVM Na?ve Bayes Algorithm for Sentiment Analysis Toward West Java Governor Candidate Period 2018-2023 Based on Public Opinion on Twitter

机译：基于对Twitter对舆论对西爪哇省长候选时期的SVM和Naive Bayes算法对西爪哇省长候选期的比较

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Opinion is a statement conveyed by a person or group of people in addressing a problem by providing predictions or expectations about the event. No guarantee that an opinion automatically will be true because it is not reinforced by the facts, it is subjective, and there is a different opinion about an event. Everyone has different views and same rights to express opinions or give opinions toward particular event. Public opinion is view of someone for certain problem comes out due to prior conversation with another person who may have an effect on the opinion given. Public opinion comes from a discussion process in addressing the problem then lead to a conclusion as a joint decision and a shared opinion. One of the media to convey public opinion is through social media like twitter. Public opinion about the election of West Java governor candidate period 2018-2023 on twitter was increasingly widespread. There are several sentiments emerged for four candidates elected on twitter accounts such as Ridwan Kamil-Uu Ruzhanul Ulum, Tubagus Hasanuddin-Anton Charliyan, Sudrajat-Ahmad Syaikhu, and Deddy Mizwar-Dedi Mulyadi. Therefore, it is necessary to classify the sentiments to the existing opinion so that it can be predicted in advance which of the governor candidate pair of West Java who has more positive and predictable sentiments will be elected as governor period 2018-2023. The data used by the researchers is tweet in Indonesian Language with keywords Rindu, Hasanah, Asyik, 2DM with datasets number is 800 tweets. There are many classification techniques commonly used for opinion sentiment analysis. This study compares two classification techniques namely Support Vector Machine Algorithm (SVM) and Na?ve Bayes Classifier (NBC). The results show that the Algorithm of Na?ve Bayes Classifier (NBC) has a higher accuracy level of Support Vector Machine (SVM), up to 94% for Deddy Mizwar-Dedi Mulyadi.
机译：意见是通过提供关于事件的预测或期望来解决问题的人或一群人的发言。无法保证自动意见是真实的，因为它没有由事实加强，它是主观的，并且对事件有不同的看法。每个人都有不同的看法和同样的权利，表达意见或对特定事件发表意见。舆论是某人的看法，某些问题出现了由于与其他可能对舆论产生影响的人进行了谈话。舆论来自解决问题的讨论过程，然后导致结论作为联合决定和共享意见。传达舆论的一个媒体是通过推特这样的社交媒体。关于在Twitter上选举西爪哇省议长候选期间的公众舆论越来越普遍。在推特账户中选择了四个候选人，如Ridwan Kamil-Uu Ruzhanul Ulum，Tumagus Hasanuddin-Anton Charliyan，Sudrajat-Ahmad Syaikhu，以及Deddy Mizwar-Dedi Mulyadi，有几个情绪。 Therefore, it is necessary to classify the sentiments to the existing opinion so that it can be predicted in advance which of the governor candidate pair of West Java who has more positive and predictable sentiments will be elected as governor period 2018-2023.研究人员使用的数据是印度尼西亚语言的推文，带有关键字RINDU，Hasanah，Asyik，2DM与数据集数量为800推文。有许多常用于意见情绪分析的分类技术。本研究比较了两个分类技术，即支持向量机算法（SVM）和NA·VE贝叶斯分类器（NBC）。结果表明，Na ve Bayes分类器（NBC）的算法具有更高的支持向量机（SVM）的精度，高达94 ％用于DIDDY Mizwar-Dedi Mulyadi。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号