Social media analytics using sentiment and content analyses on the 2018 Malaysia's general election

• 主要な著者: Balakrishnan, Vimala, Kaity, Mohammed, Rahim, Hajar Abdul, Ismail, Nazari
• フォーマット: 論文
• 出版事項: Univ Malaya, Fac Computer Science & Information Tech 2021
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.um.edu.my/26696/

This study analysed the political use of Twitter during the 2018 Malaysian General Election (GE14), using sentiment and content analyses to examine the patterns in online communication among urban Malaysians. Specifically, Naive Bayes, Support Vector Machine and Random Forest were used for sentiment...