Indonesia Conference Directory

This study aims to measure the accuracy of the sentiment analysis classification model using deep learning and neural networks. This study uses the algorithm Recurrent Neural Network (RNN) and word2vec. No previous research has used this model to analyze sentiments written using Indonesian language so that the level of accuracy is unknown. The research began by making a classification model of sentiment analysis. Then test the model through experiments. In this study, we use two classification (positive and negative). Experiments are carried out using training data sets and test set data sourced from the Travelokas website. The result show that the model shows outstanding results and reaches about 91,9%.