Extraction of public opinion is a way of gathering knowledge based on short texts written by users to provide attitudes. This condition encourages a lot of research using social media, especially the sentiment analysis approach in conducting initial identification or predictions. Social media is a dynamic medium to get public opinion which is very cheap and very large in number. This research aims to provide a review of predictions using sentiment analysis, one of the analytical methods in big data analytics. Sentiment analysis techniques are used to predict customer review, market, health, and social behavior. The sentiment analysis approach sourced from social media is able to contribute to making predictions in the form of an early warning system of problems so that it can help decision-makers based on big data analytics.