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Text Classification with Document Embeddings
2014Distributed 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
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Contrastive learning with text augmentation for text classification
Applied Intelligence, 2023Ouyang Jia +4 more
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Hybrid embedding-based text representation for hierarchical multi-label text classification
Expert Systems With Applications, 2022Yinglong Ma
exaly
A recent overview of the state-of-the-art elements of text classification
Expert Systems With Applications, 2018Marcin Mirończuk +1 more
exaly
The impact of preprocessing on text classification
Information Processing and Management, 2014Serkan Günal
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Survey on supervised machine learning techniques for automatic text classification
Artificial Intelligence Review, 2019Ammar Kadhim
exaly