Method for extracting English remote data through big data network
An extraction method and remote data technology, applied in the field of English remote data extraction, can solve the problems of reducing efficiency, unable to label English documents, and unable to match English documents, etc., to achieve rapid extraction and ensure accuracy
Active Publication Date: 2022-05-17
CHONGQING IND POLYTECHNIC COLLEGE
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Problems solved by technology
[0002] In the big data network, the network media contains a large number of English literature and English-related vocabulary. The rapid extraction of guiding and directional words expressed in English vocabulary or literature content requires continuous training and learning. Quickly find the corresponding English documents. The existing learning methods cannot label the English documents in the network, nor can they quickly and accurately classify the required English documents. The efficiency in the process cannot match the accurate English literature, which urgently requires those skilled in the art to solve the corresponding technical problems
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[0038] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.
[0039] like figure 1 As shown, the present invention discloses a method for extracting English remote data through a big data network, comprising the following steps:
[0040] S1, obtain the English documents of each node in the big data network, calculate the association weight of each English document, and traverse the English documents through the aggregation formula; delete the repeated sentences, invalid sentences and missing sentences after aggregation, Unify English literature data through normalization; (The difference between i...
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The invention provides a method for extracting English remote data through a big data network, which comprises the following steps of: S1, obtaining English literature of each node in the big data network, carrying out association weight calculation on each English literature, and carrying out traversal operation on the English literature through an aggregation formula; unifying the English literature data through normalization; s2, performing feature classification on the normalized English literature data, performing English literature feature classification through a feature classifier, and completing feature classification analysis of the English literature; and S3, after classification is completed, performing tagging processing on each English literature in the big data network.
Description
technical field [0001] The invention relates to the field of data analysis, in particular to a method for extracting English remote data through a big data network. Background technique [0002] In the big data network, the network media contains a large number of English literature and English-related vocabulary. The rapid extraction of guiding and directional words expressed in English vocabulary or literature content requires continuous training and learning. Quickly find the corresponding English documents. The existing learning methods cannot label the English documents in the network, nor can they quickly and accurately classify the required English documents. The efficiency in the paper cannot match the accurate English literature, which urgently requires those skilled in the art to solve the corresponding technical problems. Contents of the invention [0003] The present invention aims to at least solve the technical problems existing in the prior art, and particu...
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IPC IPC(8): G06K9/62G06F40/289G06F16/383
CPCG06F40/289G06F16/383G06F18/241
Inventor 邓淄予
Owner CHONGQING IND POLYTECHNIC COLLEGE