Analisis Sentimen Terhadap Boikot Produk Israel Menggunakan Algoritma Naive Bayes Dan SMOTE

Putra Ganda Dewata; Azzar Rizky; Hafiz  Irsyad

Authors

Putra Ganda Dewata Universitas Multi Data Palembang
Azzar Rizky
Hafiz Irsyad

Keywords:

Palestine-Israel Conflict, Indonesian People, Boycott Action, Sentiment, Naive Bayes, SMOTE

Abstract

The conflict between Palestine and Israel, which has been going on for approximately 6 decades, has triggered a wide variety of reactions in various countries. The reaction carried out by the Indonesian people is the Boycott of Products affiliated with the state of Israel as a form of solidarity and moral protest against this prolonged conflict. This research was conducted to analyze the sentiment of the Indonesian people towards this Boycott Action on the YouTube Shorts video sharing platform. Sentiment analysis conducted in this study uses the Naive Bayes algorithm and text preprocessing techniques, namely the SMOTE technique with 2433 public comment data. The final results show that the Naive Bayes algorithm has a high level of effectiveness in predicting sentiment on comment text with an accuracy of 94%. The accuracy level can be achieved that the algorithm model is trained with data division of 60% training data and 40% testing data.

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