Construction cost list classification method based on multinomial Bayes

Abstract

The invention discloses a construction cost list classification method based on multinomial Bayes and relates to the field of intelligent construction cost list classification. The classification method comprises the following steps of: S1: extracting and integrating key information from training construction cost list data and to-be-classified construction cost list data into a training list textand a to-be-classified list text and preprocessing the training list text and the to-be-classified list text, S2: performing text representation on the preprocessed training list text and the to-be-classified list text, S3: performing classification training on the training list text after the text representation, and S4: applying a list text classifier to the preprocessed to-be-classified list text to form a classification result. The method solves the problems that the existing list classification summary method is greatly influenced by human factors, the rule universality is poorer, the labor cost and time cost are higher, and hidden rules are difficult to find.

Description

technical field [0001] The invention relates to the field of intelligent classification of engineering cost lists, in particular to a method for classifying engineering cost lists based on multinomial Bayesian. Background technique [0002] The research in the field of engineering cost mainly involves the engineering cost documents compiled by relevant parties in various construction projects. The engineering cost documents contain a lot of valuable information. The data mining and learning of big data for engineering cost documents are instructive for my country's construction industry The most important thing is the classification of the project cost list. The purpose is to classify the project cost list into a certain category under the list classification system according to the description of the list and the materials used, so as to facilitate the overall understanding. and the process of analyzing the specific composition of a project. However, my country’s engineering ...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for classifying project cost lists based on multiple Bayesian methods, which solves the problems of existing list classification and summary methods that are greatly affected by human factors, poor universality of rules, and labor and time costs. Larger and difficult to find hidden rules

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