Sentence distance mapping method and device based on machine learning and computer equipment

Abstract

The invention discloses a sentence distance mapping method and device based on machine learning, computer equipment and a storage medium. The method comprises the steps that input single sentence voice information is acquired; converting the single-sentence voice information into single-sentence text information; preprocessing the single sentence text information, and querying a preset word vectorlibrary to obtain word vectors corresponding to words in the preprocessed single sentence text information; calculating the distance between the single sentence text information and a preset standardsingle sentence by using a preset algorithm according to the word vector corresponding to each word in the single sentence text information; and inputting the distance into a preset function, mappinga score, and training the preset function through training data. Therefore, the similarity between the sentences is accurately calculated, and the technical effect of being more accurate and more visual is achieved.

Description

technical field [0001] The present application relates to the field of computers, in particular to a machine learning-based sentence distance mapping method, device, computer equipment and storage medium. Background technique [0002] In the field of natural language processing, sentence similarity calculation is an important content (that is, to calculate the similarity between two sentences), specifically, it is applied in information retrieval, question answering system, machine translation and other application fields More frequent. However, most of the prior art is cosine similarity to calculate the degree of similarity between two sentences. This method generally counts the word frequency of the same word between two sentences to form a word frequency vector, and then uses the word frequency vector to calculate the similarity between the two sentences. Because the method in the prior art only uses the word frequency of the same word in two sentences, the accuracy of ...

AI Technical Summary

Problems solved by technology

Since the method in the prior art only uses the word frequency of the same word in two sentences, the accuracy of the calculated similarity is not high

In addition, the degree of similarity calculated by the existing technology is generally not a scoring system (such as a 100-point system) that humans are used to, so when the calculated similarity is output, it cannot intuitively reflect how high the degree of similarity between two sentences is.

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