The main idea to predict the trend

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

Web application can refresh 24 hour for collect data to database and user can use this web application 24 hour, But user most active user in the period 08.00-17.00.

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 help นักลงทุน ตัดสินใจได้อย่างดีขึ้น in online stock market buyers and sellers especially in Situation with high risk and uncertainty

ผลลัพธ์ (อังกฤษ) 1:

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 Web application can refresh 24 hour for collect data to database and user can use this web application 24 hour, But user most active user in the period 08.00-17.00.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 help investors. The decision is a better stock market buyers and sellers in online especially in Situation with high risk and uncertainty.

ผลลัพธ์ (อังกฤษ) 2:

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 Application was developed written in PHP language Through MySQL Database Web Application Can refresh for 24 hour to collect Data Database and Web Application user Can use this 24 hour, But Most active user in the user 8:00-5:00 p.m. period. Our Web developed. 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 Help Investors decided not better in online stock market. buyers and sellers especially in Situation with high risk and uncertainty.

ผลลัพธ์ (อังกฤษ) 3:

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 ThailandThis web application development.

The developed application was written in PHP language through MySQL database

Web. Application can refresh 24 hour for collect data to database and user can use this web application, 24 hour But user most. Active user in the period 08.00-17.00.

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 help investors decision is better in online stock market buyers and sellers especially in Situation with. High risk and uncertainty.