Abstract:
In order to develop an automatic system for Thai query distribution, sometimes keyword
spelling in the query is matched with a name of an unrelated department, which causes wrong
distribution. This thesis proposes an automatic Thai query distribution system by considering
context relation between the query sentences and the department context. More specifically, the
context relation takes the keyword frequency and the keyword priority into account so that the
precise relation between the query sentences and the departments can be identified. The system
firstly inputs a query sentence in a natural language phrase. Then, the system computes the
context relation and matches the right department. The experiment with five divisions of Mae Fah
Luang University and 115 queries shows that the proposed system provides 86.09% distribution
accuracy.
Description:
Thesis (M.Sc.) -- Strategic Management Information System, School of Information Technology. Mae Fah Luang University, 2009
