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Text Classification with Document Embeddings

2014
Distributed representations have gained a lot of interests in natural language processing community. In this paper, we propose a method to learn document embedding with neural network architecture for text classification task. In our architecture, each document can be represented as a fine-grained representation of different meanings so that the ...
Chaochao Huang   +2 more
openaire   +1 more source

Deep Learning--based Text Classification

ACM Computing Surveys, 2022
Shervin Minaee, Erik Cambria
exaly  

Text Classification

2021
Chengqing Zong, Rui Xia, Jiajun Zhang
openaire   +1 more source

Contrastive learning with text augmentation for text classification

Applied Intelligence, 2023
Ouyang Jia   +4 more
openaire   +1 more source

Logistic Regression Matching Pursuit algorithm for text classification

Knowledge-Based Systems, 2023
Shuai Zhao, Shancheng Zhao, Qing Li
exaly  

A recent overview of the state-of-the-art elements of text classification

Expert Systems With Applications, 2018
Marcin Michał Mirończuk   +1 more
exaly  

Uncertainty Quantification for Text Classification

2023
Dell Zhang   +3 more
openaire   +1 more source

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