Abstract—This research was a research and development
project that aimed to develop an automatic system to assist and
support consultation about University information. These can
be categorized into four groups: 1). Education; 2). Expenses; 3).
Privacy issues and 4). other issues, and to assess the efficiency of
the automatic consulting system. The system was developed in
the form of mobile web access applications based on mobile
queries, whereas THSplitlib was used for Thai word wrapping
which was operated using Dictionary-Based Approach which
compared input with the words stored in the dictionary. A
review of the results of the assessment by experts found that the
average total was at 4.25 with a standard deviation of 0.71. This
showed that the system's performance was good and that the
assessment on the part of the experts tended in the same
direction. It was concluded from the research that the
counseling is effective in terms of improving automation levels.
Index Terms—Automatic consulting system, Thai-text
classification, recommended system.
The authors are with Faculty of Humanities and Social Sciences, Suan
Sunandha Rajabhat University, Bangkok (SSRU), Thailand (e-mail:
jarumon.no@ssru.ac.th, nutthapat.ke@ssru.ac.th).
Cite: Jarumon Nookhong and Nutthapat Kaewrattanapat, "The Automatic Consulting System in Higher Education Institution," International Journal of Information and Education Technology vol. 7, no. 10, pp. 712-715, 2017.