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Method and device for extracting text labels

A text label and extraction method technology, applied in the computer field, can solve the problem of low text label extraction accuracy, and achieve the effect of solving the low extraction accuracy and improving the extraction accuracy.

Active Publication Date: 2021-03-26
深圳市雅阅科技有限公司
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  • Summary
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Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for extracting text tags to at least solve the technical problem of low accuracy in text tag extraction

Method used

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  • Method and device for extracting text labels
  • Method and device for extracting text labels
  • Method and device for extracting text labels

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Embodiment Construction

[0020] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0021] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses a text label extraction method and device. The method comprises the following steps: preprocessing a to-be-processed target text to obtain a first keyword set; performing feature extraction on the object keywords in the first keyword set to obtain a feature set corresponding to the object keywords; inputting the feature set corresponding to the object keyword into a decision tree model to obtain a classification result corresponding to the object keyword, the decision tree model being used for classifying the keyword according to the feature set of the input keyword; and determining a target tag matched with the target text according to the classification result of the object keyword. The technical problem that text label extraction is low in accuracy is solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a method and device for extracting text tags. Background technique [0002] In related technologies, in order to push the desired text to the user, it is often necessary to perform matching according to the label of the text. Taking news text as an example, when pushing news to users, in order to meet the user's reading interest, it is necessary to select the news text that the user is interested in according to the label of the text, so as to push the relevant news text to the user. Here, whether the extraction of the text label is accurate directly affects whether the subsequent push text meets the user's interest. [0003] In the prior art, the word frequency of each word is simply calculated by Term Frequency (TF) for the text, and it is judged whether the word frequency of each candidate label exceeds the set threshold. If it exceeds the threshold, the candidate label is co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/33G06F16/35
Inventor 邓文超郑茂
Owner 深圳市雅阅科技有限公司
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