An automatic questionnaire survey model based on the collective message over the internet

This research develops an automatic questionnaire survey model. In the proposed model, the questions in the questionnaires can be converted into structured components and the component characteristics can be obtained from the collective online message. By using the Artificial Neural Network method, the relationship model between the collective message and questionnaire questions can be derived and the derived model can be used to acquire the answers to the questions from the message highly related to the questions. By utilizing the proposed methodology, researchers can efficiently realize the results about their questionnaire derived from the online population.