In this research we developed a web application to recognize the moods of users quickly and online based and the insertion data collected from stock market of Thailand. The main idea was to predict the future trending behavior of investors based and the classifications of emotions via history data previously collected form stock market web board using the developed web application can significantly help the investors and interested users in the process of decision marking to buy or sell the stock shares online in real market situations in Thailand