Text classification method, server and computer readable medium

A text classification and classifier technology, applied in the field of information processing, can solve the problems of ambiguity difference, reduce the accuracy of text classification, etc., and achieve the effect of improving the accuracy.

Inactive Publication Date: 2018-06-15
SHENZHEN GIONEE COMM EQUIP
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Problems solved by technology

[0003] However, in the existing text classification technology, because a word may have different meanings, these

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  • Text classification method, server and computer readable medium
  • Text classification method, server and computer readable medium
  • Text classification method, server and computer readable medium

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. 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.

[0023] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0024] It should also be understood that the terminology used ...

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Abstract

The embodiment of the invention discloses a text classification method, a server and a computer readable medium. The method comprises the steps that a to-be-classified text is acquired, and the to-be-classified text comprises M words, wherein M is a positive integer; according to N words of the to-be-classified text, a topic corresponding to each of the N words is obtained through a topic model, wherein N is a positive integer not greater than M; according to each of the N words and the topic corresponding to each word, a topic word vector corresponding to each of the N words is obtained through a topic word vector model, wherein the topic word vectors are common vector representations of the words and the topics corresponding to the words; according to the topic word vector correspondingto each of the N words, the category of the to-be-classified text is obtained through a classification model; and the topic model, the topic word vector model and the classification model are trainedmodels. Through the text classification method, the server and the computer readable medium, under the condition of considering polysemy of the words, classification accuracy is enhanced, and text classification is performed efficiently.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a text classification method, a server and a computer-readable medium. Background technique [0002] With the development of computer technology, a large amount of document information is increasing dramatically every day. Due to the rapid expansion of information, how to quickly and effectively use this information has become a new problem. In the face of huge text information, it is more and more difficult to classify this information by traditional manual means due to its low efficiency. Information processing has become an indispensable tool for people to obtain useful information. Therefore, based on machine learning artificial intelligence technology Automatic text classification has become an important research area. [0003] However, in the existing text classification technologies, since a word may have different meanings, these existing technologies do ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/35G06F18/2411
Inventor 黄佳恒
Owner SHENZHEN GIONEE COMM EQUIP
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