@inproceedings{48fde3755686465caf01519645be4962,
title = "Public Sentiment on Political Campaign Using Twitter Data in 2017 Jakarta's Governor Election",
abstract = "The campaign period is the time when candidates introduce themselves to the public and socialize their vision and mission. Some media, including social media, can be used as a medium for campaigning. To know the public view of political campaigns can use sentiment analysis using Twitter data. This research analyzes public sentiment toward the political campaign for candidate pair of a governor and vice governor of DKI Jakarta in 2017. We use sentiStrength, a program using the lexicon-based approach as a classification method. We classify each tweet into three classes: positive, negative, and neutral classes. The results show that, in general, positive sentiments dominates negative sentiments for each candidate for governor and vice governor. The results also show that the positive sentiments of all pairs have the same sequence as the election results.",
keywords = "lexicon, sentiment analysis, sentiStrength, social media campaign, Twitter",
author = "Mardeni Mihardi and Indra Budi",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 1st International Conference on Applied Information Technology and Innovation, ICAITI 2018 ; Conference date: 04-09-2018 Through 05-09-2018",
year = "2019",
month = apr,
day = "10",
doi = "10.1109/ICAITI.2018.8686740",
language = "English",
series = "Proceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation: Toward A New Paradigm for the Design of Assistive Technology in Smart Home Care",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "67--72",
editor = "Yance Sonatha and Rahmat Hidayat and Alde Alanda and MT Humaira and Indri Rahmayuni",
booktitle = "Proceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation",
address = "United States",
}