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Method and device for identifying text emotion types based on cognitive structure model

A recognition method and emotion type technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low efficiency and performance, and achieve the effect of less data volume, flexibility and effectiveness of use

Inactive Publication Date: 2013-12-11
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

Among them, the scheme disclosed by Mostafa not only requires a large amount of manpower to label data, but also calculates the words that appear in the sentence indiscriminately, which leads to low efficiency and performance of the method

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  • Method and device for identifying text emotion types based on cognitive structure model
  • Method and device for identifying text emotion types based on cognitive structure model
  • Method and device for identifying text emotion types based on cognitive structure model

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0021] The present invention is based on the classic emotional cognitive structural model in cognitive psychology (represented by the OCC cognitive structural model [Ortony, Clore & Collins, 1988]), and establishes a method for automatically identifying emotional types in text. This model can describe the cognitive structure of many different types of emotions, and has a very wide range of applications in computational modeling of emotions. The emergence of each emotion type in the model is triggered by certain conditions, which can be expressed by different emotion dimension values, among which "Desirability", "Praise- / Blame-worthiness" and " "Likelihood" is the three most important emotional dimension variables in the m...

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Abstract

The invention discloses a method and device for identifying text emotion types based on a cognitive structure model. The method comprises the steps of automatically constructing an emotion dimensionality dictionary for input massive open-source texts by using a statistical approach based on a general semantic dictionary and a syntax dependence relationship; carrying out refinement on the constructed emotion dimensionality dictionary, wherein the refinement specifically comprises the steps of carrying out inconsistency processing of semantics and emotional tendency and filtering non-emotional words; obtaining corresponding emotion types by combining the corresponding relation of the emotion dimensionality values and the emotion types in the emotion cognitive structure model based on the high-quality emotion dimensionality dictionary obtained after the refinement. According to the technical scheme, the method for identifying the text emotion types based on the cognitive structure model is obviously superior to an existing method on the design concept, the interpretability, the using flexibility and the validity, and can be used for emotion analysis and identification for texts in the fields such as business intelligence, social public sentiment and decision-making evaluation.

Description

technical field [0001] The invention belongs to the field of opinion mining and sentiment analysis in computer science and technology, and in particular relates to a cognitive structure model based on emotion, a method and a device for automatically identifying various emotion types in a text by using a statistical method to construct an emotion dimension dictionary . Background technique [0002] Opinion mining and sentiment analysis have very important application value in the fields of social public security, business intelligence, social sentiment and public opinion. In recent years, the vigorous development of social media (Renren, Science.com, Blog, Weibo, WeChat, etc.) in the Internet has led to an explosion in the amount of user-generated content. User-generated content usually contains a certain amount of emotion, which can provide key information and decision support for applications in multiple fields related to society, economy, politics, and culture. [0003] ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
Inventor 毛文吉曾大军皇甫璐雯王磊
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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