Facebook Users ’ Emotion Mining System

Emotion recognition has been widely discussed among society since 1990’s. Implementing user’s emotion recognition system would be ideal as it can raise the emotional awareness among Facebook users. Facebook users are allowed to reveal their emotions via their post of status without restrictions. Through this emotion mining, Facebook user’s post of status will be utilized to analyze the emotional condition of user along certain period of time. This system also provides appropriate recommendations for the users according to the results gained from the system. With this, Facebook users will be more aware of handling their emotions which can decrease the risk of negative impact from negative emotions. This system will also provide emotion detection by Facebook user’s friends towards his/her post of status by assessing the replies of the friends. With this, Facebook user can quickly recognize about the feelings of his/her friends towards the message. In order to accomplish this project, a lot of related researches on existing emotion mining system and emotions need to be studied to gain the accuracy of the system results. In this study, we have studied on the emotion related keywords from past researchers. We include four main emotional states in the system which includes the state of happy, sad, angry and neutral. We also have to identify the most suitable method to be used to recognize Facebook user’s emotion. The following section dwells on the findings of the study. With the information gathered we then design a web-based emotion mining system that is suitable for the Facebook users. The aim of this system is providing a useful feature which is not found in existing Facebook system