Communicating with customers is the key to maintaining relationships so that customers are loyal to the business. But employees in the organization are unable to support or keep contact with the customer all day, especially for community enterprise with limited budgets. The chatbot is one of the tools that can increase the efficiency of automated communication with customers at all times. This paper presents Thai chatbot on social media marketing for community enterprise using the ontology technique. To develop a semi-automatic approach to create query terms and answers in different styles of response which is related to describe the features of online community product purchases for online buyers with community enterprise. The Longest matching approach was used to increase the capability of the Thai word segmentation, thus providing detailed and accurate information. The results show effectiveness and evaluation in terms of the accuracy of the classification and relationship of ontology and black box testing at the high-level while being used has high consensus both experts and users.
CITATION STYLE
Nuanmeesri*, S., & Poomhiran, L. (2019). Ontology Based Thai Chatbot on Social Media Marketing for Community Enterprise. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 10153–10158. https://doi.org/10.35940/ijrte.d4510.118419
Mendeley helps you to discover research relevant for your work.