首页>
外国专利>
DETECTING AFFECTIVE CHARACTERISTICS OF TEXT WITH GATED CONVOLUTIONAL ENCODER-DECODER FRAMEWORK
DETECTING AFFECTIVE CHARACTERISTICS OF TEXT WITH GATED CONVOLUTIONAL ENCODER-DECODER FRAMEWORK
展开▼
机译:用门控卷积编码器-解码器框架检测文本的情感特征
展开▼
页面导航
摘要
著录项
相似文献
摘要
Certain embodiments involve using a gated convolutional encoder-decoder framework for applying affective characteristic labels to input text. For example, a method for identifying an affect label of text with a gated convolutional encoder-decoder model includes receiving, at an encoder, input text. The method also includes encoding the input text to generate a latent representation of the input text. Additionally, the method includes receiving, at a supervised classification engine, extracted linguistic features of the input text and the latent representation of the input text. Further, the method includes predicting an affect characterization of the input text using the extracted linguistic features and the latent representation. Furthermore, the method includes identifying an affect label of the input text using the predicted affect characterization. The gated convolutional encoder-decoder model is jointly trained using a weighted auto-encoder loss associated with a reconstruction engine and a weighted classification loss associated with the supervised classification engine.
展开▼