Emotion analysis method and system based on multi-channel data and circulating neural network
A cyclic neural network and sentiment analysis technology, applied in the field of sentiment analysis, can solve problems such as single data and poor sentiment analysis accuracy.
Active Publication Date: 2019-02-12
HEFEI UNIV OF TECH
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[0002] In the existing technology, the way of emotional analysis includes the way of establishing an emotional computing system based on facial expressions, and the way of establishing an emotional computing system based on pulse signals. No matter which method is used, the data used is relatively simple, which makes the accuracy of emotional analysis poor
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[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0033] In the first aspect, the present invention provides a sentiment analysis method based on multi-channel data and recurrent neural network, such as figure 1 As shown, the sentiment analysis method includes:
[0034] S101. Obtain facial expression pictures, voice data, infrared pulse data and skin resistance data of the person to be analyzed ...
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The invention provides an emotion analysis method and system based on multi-channel data and a circulating neural network, which relates to the technical field of emotion analysis. The method comprises the following steps of acquiring the facial expression pictures, the voice data, infrared pulse data and skin resistance data of a person to be analyzed during viewing a preset video; converting thespeech data, infrared pulse data and skin resistance data into corresponding spectra; inputting the facial expression picture, the spectral map corresponding to the speech data, the spectral map corresponding to the infrared pulse data and the spectral map corresponding to the skin resistance data into the preset convolution neural network model to obtain the corresponding characteristic array respectively, wherein each of the feature arrays includes a first predetermined amount of feature data; combining the feature numbers, obtaining a total feature array, and inputting the total feature array into the emotion analysis model to obtain the proportion of each type of emotion to be analyzed. The method and the system of the invention can improve the accuracy of emotion analysis.
Description
technical field [0001] The present invention relates to the technical field of emotion analysis, in particular to an emotion analysis method, system, computer equipment, computer-readable storage medium and computer program based on multi-channel data and cyclic neural network. Background technique [0002] In the existing technology, the way of emotional analysis includes the way of establishing an emotional computing system based on facial expressions, and the way of establishing an emotional computing system based on pulse signals. No matter which method is used, the data used is relatively simple, which makes the accuracy of emotional analysis poor. Contents of the invention [0003] (1) Solved technical problems [0004] Aiming at the deficiencies of the prior art, the present invention provides a sentiment analysis method, system, computer equipment, computer readable storage medium and computer program based on multi-channel data and cyclic neural network, which ca...
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IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/70G06N3/045
Inventor 孙晓洪涛
Owner HEFEI UNIV OF TECH