Analysis of K-popers Sentiment of Indonesian Entertainment World with Convolutional Neural Network Algorithm

The “Korean Wave“ occurred in the world’s entertainment industry, including Indonesia. Korea is a trendsetter in the development of fashion and lifestyle today. The influence of Korean drama, Korean music (K-Pop), and Korean culture attracts the public’s attention, especially teenagers, causing imitation. However, during the “Korean Wave,“ Indonesian culture through its entertainment industry should be maintained. This study aims to determine Korean entertainment fans’ sentiments, often called K-Poppers, towards Indonesia’s entertainment world through sentiment analysis technology. This sentiment analysis can reveal how far K-Pop has opinions regarding the entertainment industry in their own country. This study uses the Convolutional Neural Network (CNN) algorithm with Word2Vec as the word embedding process. The best model accuracy was obtained at 85% based on the learning experiments’ results. The results of the sentiment analysis show that 82.6% of K-Poppers have positive sentiments towards the entertainment industry in Indonesia.