Evaluation Framework for Decision Making Based On Sentiment Analysis in Social Media

The right decision and can regulate the development of management in an effective direction requires the availability of complete, objective, and superior information. Decision Support System or DSS itself is a system that is able to provide problem solving skills and communication skills for problems with semi-structured and unstructured conditions. In addition, decision making also involves social media data. Social media itself is now growing rapidly and has very users. To verify and validate the success of decision making, it is very important to evaluate the process. However, the process for evaluating decision making is often neglected during DSS development. However, it should be noted that a thorough examination of the DSS will allow the system developer to know how well the system is working. This study seeks to determine an evaluation framework for decision making based on sentiment analysis on social media. This framework is proposed to produce guidelines for evaluation activities steps and determine the variables. The final result of this research is a proposed evaluation framework that can provide views and contribute to decision making for decision makers. The resulting evaluation framework contains both quantitative and qualitative aspects.