Automatic Reply System for Nongkhai Technical College Fanpage

Abstract

Purposes of this project were  to create and find the efficiency of the automatic reply system for Nongkhai Technical College Fanpage. The automatic reply system was developed from the Architecture compatible website with Artificial Intelligent (AI) Technology and natural language processing (NLP) technology. Which were used to develop Automatic Reply System in Facebook Messenger, co-operated with Dialogflow. After created the automatic reply system for Nongkhai Technical College Fanpage. Researchers had performed the assessment of the efficiency of the system. The research results were found that : The total opinion score level of all 3 fields were at “good” level ( = 4.48) from the assessors. When considerate in each field we found that, the level of opinion toward the usage field was good ( = 4.54). The level of opinion toward the content field is Good ( = 4.43). And the level of opinion toward the utilization field is good ( = 4.47). In summarize, the assessor’s opinion toward the system is in “good” level. So, we can assume  that automatic reply system for Nongkhai Technical College Fanpage has proper efficiency as defined.