Evaluating expression emotion disorder based on text mining approach

The emergence of online social network can serve as an alternative tools to help in finding answer to a variety of problem in information retrieval. As most of user nowadays are effectively use social media to interacting with people in the country and across the world it is suitable platform for researchers to use. The goal of this report is to use data mining technique to extract the knowledge in finding the potential user that suffer in depression using the data from the social media. For this report, Facebook is chosen as a medium to collect the data. This report is conducted to give and advantage for future researcher and clinician in finding the answer towards depression cases faster than traditional system or procedure. In developing this project the text mining technique are used to finding useful pattern and trend from the thousand data collected. The textual data collected also will undergoes process in determining emotion up to six emotion and for the classification algorithm, Multinomial Nai've Bayes are selected as the algorithm work best with big data. The system will be able to classify candidate possibly suffering in depression with high accuracy