Title :
Chinese question classification based on mining association rules
Author_Institution :
Sch. of Comput. & Commun. Eng., Weifang Univ., Weifang, China
Abstract :
In this paper, a method of Chinese question classification based on the mining association rules is proposed. Words and Bi-gram are extracted from question as classific features. The method can mine the association rules between the type of the question and its classific features, to construct an association rules - based database. At last the type of the question is marked by choosing the type which the most association rules define. Experimental results show that the proposed method is feasible and can achieve good performance.
Keywords :
data mining; information retrieval; natural language processing; Chinese question classification; association rules mining; natural language processing; Association rules; Classification algorithms; Databases; Feature extraction; Machine learning; Taxonomy; Training; Association rules; Nature Language Processing; Question classification;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5581026