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HYBRID MODEL FOR SHORT TEXT CLASSIFICATION WITH IMBALANCED DATA
HYBRID MODEL FOR SHORT TEXT CLASSIFICATION WITH IMBALANCED DATA
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机译：数据不平衡的短文本分类的混合模型
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摘要
A method of text classification includes generating a text embedding vector representing a text sample and applying weights of a regression layer to the text embedding vector to generate a first data model output vector. The method also includes generating a plurality of prototype embedding vectors associated with a respective classification labels and comparing the plurality of prototype embedding vectors to the text embedding vector to generate a second data model output vector. The method further includes assigning a particular classification label to the text sample based on the first data model output vector, the second data model output vector, and one or more weighting values
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