Text-based emotion detection method and device, computer equipment and medium

Abstract

The invention discloses a text-based emotion detection method and device, computer equipment and a medium, and the emotion detection method comprises the steps of inputting text data into N trained neural network language models, and outputting N emotion prediction probabilities, wherein each neural network language model comprises a pre-trained language model, a first full connection layer and anactivation function; and fusing the N emotion prediction probabilities to obtain a final prediction probability of the text data, wherein N is a natural number greater than or equal to 2. According to the embodiment provided by the invention, the plurality of neural network language models are set, each pre-trained language model is used for predicting according to different extracted features togenerate the plurality of emotion prediction probabilities, and the plurality of emotion prediction probabilities are fused to obtain the final prediction probability of the input text data, so thatthe prediction capability is remarkably improved, and the invention has wide application prospects.

Description

technical field [0001] The present invention relates to the technical field of natural language detection, in particular to a text-based emotion detection method and device, computer equipment and media. Background technique [0002] With the rapid development of deep learning technology, the field of natural language detection also introduces deep learning technology for detection, because natural language sometimes expresses emotions through a word or a sentence, and sometimes expresses happiness, sadness, and sarcasm through at least two sentences Therefore, identifying the speaker's emotion through a word or a sentence can no longer meet the actual needs. It is necessary to perform emotion detection based on the context or the scene of the current dialogue. However, compared with the emotion detection of a single sentence in the prior art, the emotion detection of multiple rounds of dialogues is more difficult, because not only the meaning of the current sentence needs t...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of deep learning technology, the field of natural language detection also introduces deep learning technology for detection, because natural language sometimes expresses emotions through a word or a sentence, and sometimes expresses happiness, sadness, and sarcasm through at least two sentences and other emotions, so recognizing the emotion of the speaker through a word or a sentence can no longer meet the actual needs, and it is necessary to perform emotion detection according to the context or the scene of the current dialogue

However, compared with the emotion detection of a single sentence in the prior art, the emotion detection of multiple rounds of dialogues is more difficult, because not only the meaning of the current sentence needs to be understood, but also the context at that time needs to be understood and combined with the context sentence. detection

Images