Research On Complaints' Classification And Question Answering System Of Construction Quality Knowledge

The quality of construction projects relates to people's lives and property safety,and has been considered as the key topic by researchers in the field of AEC.With the advent of the information age and the sustainable development of China's construction industry,Chinese government has actively promoted the development of e-government to satisfy the need of China's construction industry.Complaints about construction quality are the reflections of the quality of construction,which refer to architectural quality defects of China.Currently,the number of complaints in construction quality and related domain knowledge are growing.However,the classification of construction quality complaints under manual method can't meet above situation.What's more,complaints handling personnel and related participants have no unified e-learning platform to query and learn construction quality knowledge.This paper uses Convolutional Neural Network(CNN),one of the machine learning method,to solve the problem of automatic classification of construction quality complaint texts,which helps speed up the construction quality complaint handling process.Based on the construction quality complaints texts from Wuhan Quality Supervision Station,the machine learning methods,Naive Bayes and Support Vector Machines,are used for comparison experiments.The results show that the classification method based on CNN model has the highest classification accuracy and shorter calculation time.Besides,this paper has proposed the structure of a Question Answering System(QAS)with related functions as the management platform for quality complaints.The realization flow of different components of the QAS prototype system are designed,and examples are given to illustrate the implementation of the QAS.The study on the automatic classification of construction quality complaint texts will help to improve the text classification method in the field of construction quality.The establishment of the QAS prototype for building quality contributes to knowledge sharing.In the future,the proposed classification model can be applied to more research areas,especially for short texts.Besides,the construction quality QAS prototype can be developed and applied to the practical construction projects.