In this research, we tested and applied the process of word wrapping by comparing the moods and emotions of the users shared online via The Stock Exchange Market of Thailand. The word wrapping and word segmentation techniques were run on a Server so that the stored data was collected from an authentic (real-life) web board of exchange market. The proposed application displayed an easy-to-read chart that can be applied to then systems in order to grab the moods emotions and feeding of user via web boards.