Device and method for identifying statement emotion based on dependency relation

Abstract

The invention provides a device and a method for identifying statement emotion based on dependency relation. The device comprises a storage unit, a dependency relation analysis unit, a core structure extraction unit and a statement emotion identification unit. The storage unit is used for storing an emotion model library, wherein, in the emotion model library, each word collocation entry obtained from the corpus in advance is mapped to the corresponding emotion tag; the dependency relation analysis unit is used for analyzing the dependency relation of each word in an input statement based on the part-of-speech of each word in the input statement; the core structure extraction unit is used for extracting the core structure of the input statement according to the dependency relation analyzed by the dependency relation analysis unit; the statement emotion identification module is used for generating the word collocation entries of the core structure according to the core structure extracted by the core structure extraction unit and the dependency relation analyzed by the dependency relation analysis unit, and further searching the emotion tags corresponding to the generated work collocation entries from the emotion model library.

Description

technical field [0001] The present invention relates to emotion recognition technology in computational linguistics, more specifically, the present invention relates to a device and method for recognizing the type of emotion expressed by a sentence. Background technique [0002] Computational Linguistics refers to a discipline that analyzes and processes natural language by establishing a formalized training model, and realizes the conversion, analysis and processing of sentences by means of the interaction between computer hardware and software. , so as to achieve the purpose of using machines to simulate part or even all of human language abilities. [0003] The emotion of language plays a very important role in the interaction between people, and it can affect people's rational thinking, perception, decision-making and learning ability. Basically, emotions can be categorized into happy, sad, angry, surprised, hate and fear etc. Today, one of the biggest challenges in hu...

AI Technical Summary

Problems solved by technology

[0007] 2. When the sentence contains keywords with opposite emotional tendencies, it is difficult to make correct judgments based on key emotional words

For example, "simple" expresses a negative emotion in the sentence "this improvement plan is too simple", but in the sentence "please introduce yourself briefly" it has no obvious emotional tendency

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