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A text data classification method and device based on deep learning

A text data and deep learning technology, applied in the field of semantic understanding, can solve the problem of low classification accuracy of text data

Active Publication Date: 2021-03-16
北京健康有益科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the accuracy of existing text data classification methods for some text data classification is low, so how to improve the accuracy of text data classification has become a technical problem that needs to be solved urgently

Method used

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  • A text data classification method and device based on deep learning
  • A text data classification method and device based on deep learning
  • A text data classification method and device based on deep learning

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Embodiment Construction

[0069] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments 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 belong to the protection scope of the present invention.

[0070] Such as figure 1 As shown, the text data classification method based on deep learning provided by the embodiment of the present invention includes:

[0071] Step 101. Obtain training text data.

[0072] In the specific implementation, the questions raised by users and the corresponding answer texts can be collected from specific webs...

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Abstract

The present invention relates to a text data classification method and device based on deep learning, including: obtaining training text data; using the training text data to train the TextCNN classification model, and using the Hyperopt tool to adjust the model parameters to obtain the trained target A classification model; obtaining text data to be classified; performing word segmentation on the text data to be classified to obtain a target word segmentation result of the text data to be classified; determining the target word segmentation according to a pre-built word vector library combined with a knowledge map The target word vector corresponding to the result; input the target word vector into the target classification model to obtain the type of the text data to be classified. The scheme of the invention can improve the accuracy of text data classification.

Description

technical field [0001] The present invention relates to the technical field of semantic understanding, in particular to a text data classification method and device based on deep learning. Background technique [0002] With the development of social media, more and more users use various social platforms to transmit information to others, share their views and comments on an event, and publish content they are interested in, etc. Take Weibo as an example. Weibo is a media platform for information dissemination based on social relationships, allowing users to disseminate information such as pictures, videos, and texts by publishing, sharing, replying, and forwarding. Although sharing pictures and videos is common in social networks, users are more inclined to use text information to express opinions and comments on a certain event or commodity. [0003] Therefore, how to mine the user's feelings for objective things based on the user's text data, that is, to mine the user's ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06F16/36G06N3/04G06N3/08
CPCG06F16/353G06F16/367G06N3/08G06N3/045
Inventor 李宇欣裘实
Owner 北京健康有益科技有限公司