Sentiment analysis of twitter data related to Rinca Island development using Doc2Vec and SVM and logistic regression as classifier
101 Citations•2022•
Tirta Hema Jaya Hidayat, Yova Ruldeviyani, Achmad Rizki Aditama
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Abstract
Development on Rinca Island by the Indonesian Government has received a lot of reaction from the community. Masses expressed their opinion through social media, especially Twitter regarding the matter. The research was conducted to analyze the public's sentiment about this development which was divided into three categories: pro, contra, and neutral. There are two Doc2Vec models used in this research, the distributed model, and the distributed bag of words, and using support vector machines and logistic regression as classifiers. Each combination of the models and classifier has an accuracy rate above 75% and shows that almost all are against the development of Rinca Island.