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Artificial intelligence (AI) enabled prescriptive persuasion processes based on speech emotion recognition and sentiment analysis
Artificial intelligence (AI) enabled prescriptive persuasion processes based on speech emotion recognition and sentiment analysis
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机译：人工智能（AI）支持基于语音情感识别和情感分析的规定性说服过程
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摘要
Methods and systems are provided for the AI-based computer-aided persuasion system (CAPS). The CAPS obtains inputs from both the target and the agent for an object, dynamically generates persuasion references based on analysis of the input. The CAPS obtains content output by analyzing the agent audio stream and the target audio stream using a recurrent network (RNN) model, obtains sentiment classifiers based on a convolutional neural network (CNN LSTM) model, updates a conversation matrix, and generates a persuasion reference based on the updated conversation matrix. The persuasion reference is based on an acceptance likelihood result generated from the conversation matrix using the RNN model. The CAPS further generates a target profile using DNN (deep neural net) with input of target Big Data, wherein the target profile includes one or more objects, and wherein the agent is selected based on the generated profile and one or more selected objects.
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