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AUTHOR PERSONALITY TRAIT RECOGNITION FROM SHORT TEXTS WITH A DEEP COMPOSITIONAL LEARNING APPROACH
AUTHOR PERSONALITY TRAIT RECOGNITION FROM SHORT TEXTS WITH A DEEP COMPOSITIONAL LEARNING APPROACH
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机译:结合深层组合学习方法的短文作者个性特征识别。
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摘要
A method for trait prediction includes receiving a text sequence and generating character embeddings for characters of the text sequence. Word representations for words of the text sequence are generated with a trained character sequence model, based on the character embeddings. A sequence representation is generated for the text sequence with a trained word sequence model, based on the word representations. At least one trait prediction is generated with a trained trait model, based on the sequence representation.
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