The main idea to predict the trend of future behavior and the emotions of investors based on the classifications via stock market history data previously collected form the web application using web board.
The main idea to predict the trend of future behavior and the emotions of investors based on the classifications via stock market history data previously collected form the web application using web board.
Out system could significantly help the investors and interested users in the process of decision to buy or sell stock shares marking online in real market situations in Thailand, this web application development. The developed application was written in PHP language through MySQL database with a sample data collected from a stock market web board.
Web application can refresh 24 hour for collect data to database and user can use this web application as well.
Our developed web application is divided into 2 sections; a user page and a page for the system.
The application analyzes and extract emotions of user based on the comment shared and displayed online.
The developed application can have profound benefits for online stock market buyers and sellers especially in Situation with high risk and uncertainty