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W2553204243 abstract "The recently introduced DeepIR model is proven effective for text classification [1]. In this paper, a modified DeepIR model is proposed by introducing a new document probability. This probability employs composite log likelihood method. An experiment using the modified DeepIR model is conducted on five text classification data sets. The proposed model shows considerable improvements in multi-class classification and minor improvements in binary-class classification. We further analyze the result to explain the performance increase." @default.
W2553204243 created "2016-11-30" @default.
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W2553204243 date "2016-07-01" @default.
W2553204243 modified "2023-09-27" @default.
W2553204243 title "Deep inverse regression with modified document probability for text classification" @default.
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W2553204243 doi "https://doi.org/10.1109/ijcnn.2016.7727396" @default.
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