TEM Journal | 2026
Authors: Kaewsuwan N.; Matcha W.; Kajornkasirat S.; Rumdon K.
DOI: 10.18421/TEM152-78
Journal: TEM Journal
Year: 2026
Publisher: UIKTEN - Association for Information Communication Technology Education and Science
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
Facebook is an alternative tool that can reflect individuals’ opinions, attitudes, and perceptions about the quality of products and services. It is also a channel for reflecting opinions or making demands that lead to quality improvement or development of products and services. Furthermore, Facebook serves as a platform that facilitates active personal engagement within online communities, enabling the sharing of knowledge and the exchange of experiences and opinions regarding the quality of products or services over a specified period. Most studies on sentiment analysis on Facebook focus on analyzing English text only, there is a derth in sentiment analysis using Thai language, especially relating to library users’ experiences. Therefore, this study focused on analysis by calling positive and negative opinions of Thai library users using the Naive Bayes classifier. The results revealed that heavy negative comments were posted in Library Facebook pages. The detailed exploration on the keywords found that most of the users expressed their negative experiences on facilities and services of the library. Whereas, the positive comments were found to be related to the facilities of the library. © 2026 Nawapon Kaewsuwan et al.
classification; Facebook; library; Naive Bayes classifier; Sentiment analysis