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Short text emotion recognition method based on HowNet

A technology of emotion recognition and short text, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as sentence failure without in-depth consideration of semantic relationship and emotionless vocabulary, and achieve the effect of improving accuracy

Inactive Publication Date: 2011-08-24
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The keyword positioning method has a good recognition effect on sentences containing emotional words, but fails for sentences without emotional words
The lexical relationship only considers the relationship on the surface of the vocabulary, but does not consider the semantic relationship in depth.

Method used

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  • Short text emotion recognition method based on HowNet
  • Short text emotion recognition method based on HowNet

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Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention clearer, the network text emotion recognition method according to the three embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0031] The basic idea of ​​the present invention is to process the word segmentation of the short text, and obtain the sememe representation by searching HowNet, then obtain the sememe PAD value through the sentiment dictionary, and finally obtain the PAD value of the sentence according to the corresponding emotion rules, so as to realize the sentence emotion identification.

[0032] According to the above thought, the flow chart of the present invention is as follows figure 1 shown.

[0033] The emotion recognition method of short...

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Abstract

The invention provides a short text emotion recognition method based on HowNet. The method comprises the following steps of: (1), creating an emotion dictionary; (2), segmenting sentences into words by a lexical analysis system ICTCLAS2011; (3), processing word segmentation result according to different parts of speech; (4), extracting words sememes from the HowNet according to a sememes extraction rule, and obtaining a PAD value from the emotion dictionary; (5), recognizing the PAD value of the sentences according to an emotion generation rule to represent sentence emotion.

Description

(1) Technical field [0001] The invention relates to a text emotion recognition method, and mainly relates to the fields of natural language processing and emotion computing. (2) Background technology [0002] At this stage, the human-computer interaction interface is mainly based on natural language, and the texts used for human-computer interaction are all short texts. Short texts are concise and flexible. Therefore, the research on emotional reasoning of text can promote the development of human-computer interaction interface in a more intelligent direction. At the same time, the emotion recognition of text can provide auxiliary functions for other forms of emotion recognition, such as voice and expression. [0003] The PAD model is an affective dimension measurement model proposed by Mehrabian and Russell. The model divides emotions into: Pleasure—represents the positive and negative characteristics of an individual’s emotional state; Arousal—represents the individual’...

Claims

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Application Information

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IPC IPC(8): G06F17/27
Inventor 毛峡江琳
Owner BEIHANG UNIV
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