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Identification and classification of training needs from unstructured computer text using a neural network
Identification and classification of training needs from unstructured computer text using a neural network
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机译:使用神经网络的非结构化计算机文本的培训需求的识别和分类
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摘要
Methods and apparatuses are described for generation of a data model for identifying and classifying training needs of individuals. A computer data store stores unstructured text. A server computing device generates a vector for search queries in the unstructured text, and generates a training course classification data model that comprises a multi-layered neural network. The server computing device executes the training course classification model using the vectors as input to generate a training course recommendation output vector. The server computing device updates the training course classification data model based upon a rating value for a training course.
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