Text emotion recognition system and method
A recognition method and text technology, applied in the field of text emotion recognition system, can solve problems such as inability to judge emotion, and achieve the effect of reducing computational complexity and data dimension.
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Embodiment 1
[0020] combine figure 1 , the text emotion recognition system provided by this embodiment includes:
[0021] Text receiving device 1: used to receive the tested text and convert the tested text into a text vector;
[0022] Neural network layer 2: used to process text vectors to obtain text abstract representation data;
[0023] Linear layer 3: used to linearize the text abstract representation data to obtain linear data;
[0024] Sentiment analysis device 4: used to calculate the emotion label data corresponding to the tested text according to the linear data, and perform emotion recognition on the tested text through the emotion label data.
[0025] In the text emotion recognition system provided by the embodiment of the present invention, after receiving the tested text, it first converts the tested text into a text vector, and then inputs the text vector into the neural network layer 2 for processing to obtain the text corresponding to the tested text. The text abstract ...
Embodiment 2
[0033] combine figure 2 , the text emotion recognition method provided in this embodiment includes:
[0034] Step S1: the text receiving device 1 receives the tested text, and converts the tested text into a text vector;
[0035] Step S2: Neural network layer 2 processes the text vector to obtain text abstract representation data;
[0036] Step S3: the linear layer 3 linearizes the text abstract representation data to obtain linear data;
[0037] Step S4: The emotion analysis device 4 calculates the emotion label data corresponding to the tested characters according to the linear data, and performs emotion recognition on the tested characters through the emotion label data.
[0038]In the text emotion recognition method provided by the embodiment of the present invention, after receiving the tested text, first convert the tested text into a text vector, and then input the text vector into the neural network layer 2 for processing to obtain the text corresponding to the test...
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