A semantic interpretation method based on artificial intelligence text semantic similarity analysis

A technology of semantic similarity and semantic interpretation, applied in the field of semantic interpretation based on artificial intelligence text semantic similarity analysis, can solve the problems of dependent word form calculation, complex calculation, low accuracy of analysis methods, etc., to achieve simple and easy implementation, improve Analysis effect, easy storage effect

Active Publication Date: 2022-03-29
北京数洋智慧科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art, and the purpose is to provide a semantic interpretation method based on artificial intelligence text semantic similarity analysis, to solve the problem that existing text semantic interpretation can only rely on word form calculation through text similarity calculation, Complicated calculations and low accuracy of existing analysis methods

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  • A semantic interpretation method based on artificial intelligence text semantic similarity analysis
  • A semantic interpretation method based on artificial intelligence text semantic similarity analysis
  • A semantic interpretation method based on artificial intelligence text semantic similarity analysis

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Embodiment

[0042] Such as figure 1 Shown, a kind of semantic explanation method based on artificial intelligence text semantic similarity analysis of the present invention, based on semantic corpus, the text similarity calculation method based on word semantic conversion is as follows:

[0043] Step 1) Design and improve the semantic interpretation model. The natural language is flexible and changeable. In order to make the calculation results as accurate as possible, the event description dimension and the various description stages of the definition dimension can be designed according to the characteristics of the text in this field to ensure that the model is as perfect as possible;

[0044] Step 2) Semantic labeling, building a corpus. According to the designed model, the original text corpus is manually marked and stored, and each text corresponds to a corpus;

[0045] Step 3) Statistical calculation. According to the established corpus, count the number of corpora that appear in...

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Abstract

The invention discloses a semantic interpretation method based on artificial intelligence text semantic similarity analysis, comprising steps: step 1) establishing a semantic interpretation model; Corresponding to a piece of corpus; step 3) statistical calculation, according to the established corpus, count the number of corpora in which all words and their semantic representations appear and the total number of corpus in the corpus; step 4) semantic conversion of words, and perform word segmentation and filtering processing on the new text D Finally, select some characteristic words as needed for semantic conversion, and establish a vector space model V 1 ; Step 5) set up all text vector space models, set up vector space models V for words that have not been semantically converted 2 , combined with V 1 with V 2 , to obtain the full text vector space model V; step 6) repeat steps 3 and 4 for the new text D' to obtain its vector space model V'; step 7) use the cosine formula to calculate the similarity between text D and D'.

Description

technical field [0001] The invention relates to the field of text semantic analysis, in particular to a semantic interpretation method based on artificial intelligence text semantic similarity analysis. Background technique [0002] With the rapid development of the computer Internet, text similarity calculation has a wide range of applications in many fields. For example, in intelligent machine translation, semantic similarity evaluates the quality of machine translation by measuring the equivalence between the reference translation and the output of intelligent machine translation. In addition, in information retrieval, sentiment analysis, text classification, text clustering, automatic question answering, In fields such as semantic disambiguation, text similarity calculation is a basic and important method. [0003] At present, the interpretation of text semantics through text similarity calculation mainly relies on word form calculation, which is complicated to calculat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/30G06F40/289G06F16/9032
CPCG06F40/289G06F40/30
Inventor 朱瑾鹏朱笑萱黄诗剑
Owner 北京数洋智慧科技有限公司
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