Sentiment Analysis Based on Discrete Emotional Structure Using Convolutional Neural Network Model

This study implements a neural network model to classify an emotional expression in text data. Text was automatically classified as the most likely of the seven discrete emotional categories. 246,775 Instagram postings written in Korean were used to train model, and the accuracy for test set(61,694 postings) is about 0.70.