Similarity : Sentiment Analysis using Recurrent Neural Network

This study aims to measure the accuracy of the sentiment analysis classification model
using deep learning and neural networks. This study used 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, the model was tested through
experiments. In this study, They used two classifications (positive and negative). Experiments
are carried out using training data sets and the test used data sets sourced from Traveloka
theybsite. The result shows that the model presents outstanding results and reaches about 91.9%.