Education evaluation target data processing method and system based on artificial intelligence

Through the sequence of interest distribution density sequence estimation and information binning technology, detailed information in the education evaluation text is identified, and the problem of inaccurate information extraction in the existing technology is solved, and more efficient and accurate education evaluation data processing is achieved.

CN119250069AActive Publication Date: 2025-01-03SHENZHEN YUNJUAN TECH CO LTD
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Patent Information

Application Number
CN202411038017.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-07-31
Publication Date
2025-01-03
Estimated Expiration
2044-07-31

AI Technical Summary

Technical Problem

The existing educational evaluation data processing methods based on artificial intelligence are difficult to accurately capture detailed information in educational evaluation texts, and due to the randomness of information distribution and unified identification strategies, the accuracy and efficiency of information extraction are not high.

Method used

Using the sequence of interest distribution density sequence prediction and information binning technology, the information paragraphs of interest in the text are identified through filter sampling and clustering algorithms, intercept and identify them, and generate more accurate educational evaluation subtexts, combining natural language processing and machines. Learn the model for information extraction.

Benefits of technology

It improves the accuracy of detailed information identification in the educational evaluation text, overcomes the inaccurate information extraction problem caused by random information distribution, and ensures the accuracy and completeness of information extraction.

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Abstract

The invention provides an artificial intelligence-based education evaluation target data processing method and system, and the method comprises the steps: carrying out the binning information paragraph obtained through binning an interested distribution density sequence, and carrying out the interception of an education evaluation sub-text from an education evaluation text, and carrying out the recognition of the education evaluation sub-text. Compared with identification of different paragraphs of an unprocessed education evaluation text, the method and the device have the advantages that detail information in the education evaluation text can be identified more accurately, and the first interested information identification result is used as a supplement of the second interested information identification result of the education evaluation text; the problem that information extraction is inaccurate due to distribution randomness of the interested information in the education evaluation text is solved, in other words, in the scheme, extraction of the interested information is more accurate, and information omission is prevented.
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Citation Information

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Cited By

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    CN121278102A

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