SRC calculation method

A technology of semantic relationship and calculation method, which is applied in the calculation of semantic relationship closeness, quantitative calculation of the field of semantic closeness between words, can solve problems that have not been solved well, and achieve the effect of improving accuracy

CN104317783AActive Publication Date: 2015-01-28BEIHANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2015-01-28

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Abstract

The invention discloses an SRC (Semantic Relational Closeness) calculation method, which comprises the following steps of: 1, carrying out word segmentation processing on a file, filtering word sets obtained after the processing, and filtering away non-nouns and common use nouns without actual meanings; 2, carrying out weighted processing on the filtered word sets according to positioning formation in a text, and calculating co-occurrence frequency weight values of the filtered word sets; and 3, calculating the SRC according to the average weight value between two words. The SRC calculation method has the advantages that the distance between the two words and the context relationship between the two words are sufficiently considered, and the word relevancy judging accuracy is improved.
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Description

technical field

[0001] The invention relates to a method for calculating the closeness of semantic relationship, in particular to a method for quantitatively calculating the closeness of semantic relationship between words, which belongs to the technical field of natural language processing. Background technique

[0002] The rapid development of the Internet has brought human beings into a society of information explosion. Faced with the massive amount of information on the Internet, people often use search engines to obtain and locate effective information. Most of the currently widely used commercial search engines use an information retrieval model based on the combination of keyword matching and Boolean operations. Retrieval keywords become the most important communication channel between users and retrieval systems. However, only matching a small number of keywords input by users cannot obtain satisfactory retrieval results.

[0003] In order to obtain better retrieva...

Examples

Embodiment Construction

[0023] The technical content of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as figure 1 As shown, the present invention provides a method for calculating semantic relationship closeness, including the following steps: performing word segmentation processing on documents, and filtering the word collection obtained after processing, filtering out non-nouns and common nouns with no real meaning; The word set is weighted according to the position information in the metadata text; finally, the semantic relationship closeness SRC (Semantic Relational Closeness) value between the two feature words is calculated. The following is a detailed description of this process.

[0025] S1, perform word segmentation processing on the document, and filter the word set obtained after processing, and filter out non-nouns and common nouns without meaning.

[0026] In order to reduce the comp...