News classification method and system based on emotion tendentiousness

A classification method and classification system technology, applied in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2015-07-22
SUZHOU UNIV
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  • Abstract
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Problems solved by technology

However, there is no technical solution for classifying news based on emotional tendencies in the prior art

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  • News classification method and system based on emotion tendentiousness
  • News classification method and system based on emotion tendentiousness
  • News classification method and system based on emotion tendentiousness

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Embodiment Construction

[0051] 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 only some, not all, embodiments of the present invention. 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.

[0052]The embodiment of the present application discloses a news classification method based on emotional tendency, see figure 1 As shown, the above news classification methods include:

[0053] Step S101: Using pre-built multiple base classifiers corresponding to various contents one-to-one, respectively classify the corresponding content of the news to be classified, and obtain the classification result of each base classifier.

[0054] Before classifying t...

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Abstract

The invention discloses a news classification method and system based on emotion tendentiousness. The news classification method includes the steps that a plurality of pre-built base classifiers corresponding to various contents one to one are used for classifying the corresponding contents of news to be classified, and the classification result of each base classifier is obtained; the classification results of all the base classifiers are fused correspondingly according to emotion tendentiousness classes, and a final classification result is obtained; the emotion tendentiousness of the news to be classified is judged according to the final classification result, and the emotion tendentiousness contained in the news to be classified is obtained; judgment of the emotion tendentiousness is to judge whether the news to be classified contains emotion tendentiousness generated when a user sees the news to be classified, and the judgment result shows the emotion tendentiousness contained in the news to be classified. By using the judgment result, the classes of the emotion tendentiousness contained in the news to be classified can be obtained, the purpose of classifying the news based on the emotion tendentiousness is realized, and therefore the user experience when the user browses the news is improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing and pattern recognition, in particular to a news classification method and system based on emotional tendency. Background technique [0002] At present, users can express their opinions and attitudes on the characters, events and phenomena in the news through various networks. In the user's activities, the user's attitude towards things or things is often closely related to the user's emotional tendency, that is to say, the user's opinion tendency towards things can be observed from the user's emotional tendency. Wherein, the emotional tendency refers to the tendency of the user's internal psychological reaction and feeling, that is, a positive emotional tendency or a negative emotional tendency. [0003] The so-called news classification based on emotional tendency refers to the process of analyzing, processing, summarizing and inferring the news content and commentary conten...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
Inventor 李寿山戴斌周国栋
Owner SUZHOU UNIV
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