User modeling based on sentiment analysis

Nowadays, there are lots of people use social media. In addition to, the social media changed the users' conversation model, that use the message to the conversation more than before. The social media can make people easy to contact other people, but it makes people face to face to communicate become less. In this situation, we want to know users' emotion, behavior when users' using social media. Because the user sends the message or writes a review that meaning is different. In this research, we use sentiment analysis to analysis text. The research data is based on the sharing economy platform. The sharing economy is a new economic model. This is need to high trust to share the house with other people. So some users have given the feedback to the provider. There are two feedback type in most of social media or websites. One is text review; another is star-rating or score. Some people will write good comments, but give a low score or star-rating for the providers. In our research, we will investigate the relationship between the text-only review and the score or star-rating.