A Text Approximation Retrieval and Analysis Method Based on Big Data Feature Recognition

Abstract

The invention discloses a text similarity retrieval and analysis method based on big data feature recognition. By constructing a text approximate retrieval platform, preliminary approximate matching is performed on similar retrieval texts to obtain candidate texts that are successfully matched. The candidate texts are not screened based on the target text. The radical component of the target text is used as the retrieval basis, thereby effectively expanding the range of candidate texts corresponding to the approximate retrieval of the target text, and identifying the overall structure, text coordinates, and composition stroke features of the approximate text to be retrieved, and then using the above features as the basis for the similarity analysis to perform candidate The similarity analysis between the text and the text to be retrieved is based on the above similarity analysis results, and the comprehensive approximate retrieval result corresponding to the text to be retrieved is obtained. The similarity retrieval analysis basis is too single, which leads to the shortcoming that the similarity analysis results are too one-sided.

Description

technical field [0001] The invention belongs to the technical field of text similarity retrieval, and in particular relates to a text similarity retrieval analysis method based on big data feature recognition. Background technique [0002] With my country's entry into WTO, the competition of enterprises in the world has become increasingly fierce. As an intangible capital of enterprises, trademarks play an important role in the survival and development of enterprises. Under such circumstances, companies from all walks of life are scrambling to register their corporate trademarks first. For trademarks that are registered only by the type of characters, due to the characteristics of the physical structure of Chinese characters, there are many similar characters in Chinese characters, which leads to the frequent occurrence of similar trademarks in the registered trademarks of characters. For similar trademarks to be reviewed for similarity, the text similarity search and analy...

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Problems solved by technology

[0003] However, most of the current text similarity retrieval and analysis methods use the radical components of the text to be retrieved as the basis for similarity retrieval and analysis. This kind of similarity retrieval and analysis method has a single basis for retrieval and analysis. On the one hand, it only Texts with the same radical components as the text to be approximated can be retrieved. For some texts that have different radicals from the text to be approximated but have similar overall shapes, the retrieval is usually missed, resulting in limited retrieval scope; In the process of analyzing the similarity between the text and the text to be retrieved, the similarity analysis is performed only by the components of the text, resulting in relatively one-sided analysis results and low accuracy, making it difficult to achieve comprehensive and accurate text similarity retrieval analysis

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