Cognitive evaluation theory-based Chinese text emotion recognition method

Abstract

The invention provides a cognitive evaluation theory-based Chinese text emotion recognition method, which comprises the following steps of: 1) preprocessing a Chinese text by using a natural language processing tool to obtain the dependency of sentence constituents; 2) determining emotion recognition variables contained in a sentence according to a method for determining the emotion recognition variables, and assigning the sentence constituents to the emotion recognition variables; 3) determining the values of the emotion recognition variables according to a method for assigning the emotion recognition variables; and 4) determining an emotion style expressed by the sentence according to an emotion rule. The Chinese text emotion recognition method has higher accuracy for recognizing Chinese text emotion and can recognize 22 emotion styles.

Description

(1) Technical field [0001] The invention relates to the field of pattern recognition, in particular to a Chinese text emotion recognition method. (2) Background technology [0002] With the rapid development of the Internet, text information has become one of the most commonly used interaction methods for human beings. Researching the emotional information contained in text has become a research hotspot in the field of human-computer interaction. The extraction of text emotion information also has broad application prospects in fields such as speech synthesis, information security, intelligent robots, and personalized text. [0003] Traditional text emotion recognition models mainly extract the emotional tendency of sentences by analyzing the literal features of the text. The accuracy of these methods is largely affected by the emotional corpus and common sense database. Currently, the commonly used Chinese text common sense database is HowNet, while Chinese The text senti...

AI Technical Summary

Problems solved by technology

[0005] In terms of emotion recognition in Chinese texts, most of the current methods can only recognize the two emotional polarities of praise and derogation, which is far from enough for the rich emotional information expressed in Chinese texts.

Applying the OCC model to Chinese text emotion recognition can effectively solve the problems in the field of Chinese text emotion recognition that there are few emotion recognition categories and low recognition accuracy.

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