SENTIMEN ANALISIS KANDIDAT CALON PRESIDEN INDONESIA TAHUN 2019 MENGGUNAKAN NAIVE BAYES CLASSIFICATION
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
ISMAYANTI, DIAH
Sikumbang, Hengki
Djamain, Yasni
Sikumbang, Hengki
Djamain, Yasni
Subject
Teknik Informatika
Datestamp
2022-09-22 03:43:13
Abstract :
The 2019 election of the Indonesian President is getting closer, there are names that has possibility to be coming presidential candidates in the upcoming 2019 election. Everyone is free opine on presidential candidate 2019 so many opinions, not only positive or neutral opinion but also negative. Social media, especially Twitter now become promotions or campaigns are effective and efficient. This research is expected be useful to conduct on public opinion containing sentiment positive, neutral or negative. The method used in this study, for data preprocessing using tokenisasi, cleansing and filtering. For classification using Naive Bayes classification (NBC). The data is 100 tweet in Indonesian by keyword Prabowo, Gatot Nurmantyo, Jokowi. The results of research is analysis sentiment of Indonesia presidential candidate 2019.
The 2019 election of the Indonesian President is getting closer, there are names that has possibility to be coming presidential candidates in the upcoming 2019 election. Everyone is free opine on presidential candidate 2019 so many opinions, not only positive or neutral opinion but also negative. Social media, especially Twitter now become promotions or campaigns are effective and efficient. This research is expected be useful to conduct on public opinion containing sentiment positive, neutral or negative. The method used in this study, for data preprocessing using tokenisasi, cleansing and filtering. For classification using Naive Bayes classification (NBC). The data is 100 tweet in Indonesian by keyword Prabowo, Gatot Nurmantyo, Jokowi. The results of research is analysis sentiment of Indonesia presidential candidate 2019.
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