Science subject extraction method based on multi-view learning

Abstract

The invention provides a science subject extraction method based on multi-view learning. The extraction method includes the steps that thesis data are obtained from a thesis database to serve as target files where science subjects are to be extracted; data information of multiple views in the target files are extracted to serve as bases of science subject extraction; simple data pre-processing is carried out on the data information of each view, the data information of all the target files is expressed to form a data matrix, and data information of each target file is one row vector of the data matrix; by means of the multi-view learning method, the target files are clustered, the target files of the same kind correspond to the same science subject; the science subject of the target files of each kind is extracted and expressed in a mode of multiple key words. The method has the advantages of making up for the defect that in a traditional method, data information of only one aspect is considered, well making use of data information of various aspects and obtaining better science subject extraction effects by means of complementary relationships between the data information and consistent auxiliary clustering of potential subjects.

Description

technical field [0001] The invention relates to the technical fields of text clustering and scientific topic extraction, especially the text clustering method and topic extraction work based on multi-view learning. Background technique [0002] Every article has its own specific topic, especially for academic papers. All scholars and researchers need to conduct research on existing scientific topics before conducting scientific research and writing papers. , also want to know the topic of the article first. Experienced researchers often have a clear understanding of the scientific topics in their field. They can find papers related to their research field, clarify the relationship between papers, and predict the popularity of certain scientific topics. and development trends, and this information plays a vital role in the research work of scholars and the development of the entire research field. With the rapid development of the Internet, information has begun to burst, a...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the existing scientific topic extraction methods that only consider the unilateral data information in the paper data and ignore other potential data that can be used, the present invention proposes a scientific topic extraction method based on multi-view learning. It is convenient for ordinary readers to understand emerging research fields more easily, and helps inexperienced researchers quickly grasp the research results and representative figures in various research fields

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