Sentiment Analysis on Tweets of Kanjuruhan Tragedy Using Deep Learning IndoBERTweet

ADHYAKSA DIFFA MAULANA

Informasi Dasar

96 kali
23.04.3479
004
Karya Ilmiah - Skripsi (S1) - Reference

The incident that occurred in Indonesian football at the Kanjuruhan Stadium was caused by unscrupulous supporters who entered the field and unscrupulous officers who fired tear gas into the stands. With this incident, many responses and opinions were given by the Indonesian people through social media Twitter in the form of positive, negative, and neutral opinions. This difference in opinion occurred because of the many victims who died or were injured, with many supporters who did not like the actions taken by the authorities during the riots. With this incident, the government must make decisions to ease the concerns of the community. Therefore, research will be conducted to analyze the sentiment of public opinion regarding the Kanjuruhan tragedy using the IndoBERTweet method with a comparison using naive Bayes. The results of this study using the IndoBERTweet method get better results than naive Bayes method. With the results of the IndoBERTweet method 88% accuracy, 82% precision value, 85% recall value, and 84% f1-score value, naive the Naive Bayes results are 62% accuracy, 59% Precision Value, 61% Recall Value, and f1-Score of 59%.

Subjek

DATA SCIENCE
DATA ANALYSIS,

Katalog

Sentiment Analysis on Tweets of Kanjuruhan Tragedy Using Deep Learning IndoBERTweet
 
 
Indonesia

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

ADHYAKSA DIFFA MAULANA
Perorangan
Kemas Muslim Lhaksmana
 

Penerbit

Universitas Telkom, S1 Informatika
Bandung
2023

Koleksi

Kompetensi

  • CII4E4 - TUGAS AKHIR

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