Sentiment Analysis of Indonesian News Using Deep Learning (Case Study: TVKU Broadcast)

A news sentence is a sentence that tells or does something. In fact, The comparison between positive news and negative news broadcast on TV stations in Indonesia is 1:11. One point for positive newscasting and 11 points for negative newscasting. In the TVKU dataset because the original record number is too large, then the dataset used in this study only used 2.048 data. Which 1025 Positif and 1023 negative. Then obtained accurate results between labeling and testing. By using deep learning, we can get accurate results to analyze the sentiment from TVKU news.