一种改进卷积神经网络的语义情感识别应用研究

随着人工智能研究领域的迅速发展,各种人工智能相关的行业也以大爆炸的趋势迅猛兴起,随着人工智能行业的迅猛兴起,也导致越来越多的行业都希望能够以人工智能来取代人工工作。本文提出一种改进卷积神经网络模型,在传统的卷积神经网络模型中增加一层循环隐含层,并应用在语义情感识别领域,经验证,在识别准确度方面取得较好的成绩。

Application Research on Semantic Emotion Recognition Based on Improved Convolutional Neural Network

With rapid development of research field of artificial intelligence, various industries related to artificial intelligence have been booming with big bang trend. With rapid rise of the artificial intelligence industry, more industries try to replace artificial work with artificial intelligence. The article proposes an improved convolutional neural network model, which adds a circular hidden layer to traditional convolutional neural network model, and is applied in semantic emotion recognition field. Practice has proved that it has achieved good results in recognition accuracy.