Multi-GPU-based Convolutional Neural Networks Training for Text Classification

2021 ◽  
pp. 72-84
Author(s):  
Imen Ferjani ◽  
Minyar Sassi Hidri ◽  
Ali Frihida
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Classification

Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification

2021 ◽  
pp. 1-10
Author(s):  
Zhipeng Tan ◽  
Jing Chen ◽  
Qi Kang ◽  
MengChu Zhou ◽  
Abdullah Abusorrah ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Classification

Incorporating context-relevant concepts into convolutional neural networks for short text classification

2020 ◽  
Vol 386 ◽  
pp. 42-53 ◽  
Author(s):  
Jingyun Xu ◽  
Yi Cai ◽  
Xin Wu ◽  
Xue Lei ◽  
Qingbao Huang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Classification ◽  
Short Text

scholarly journals Sentiment Classification Using Convolutional Neural Networks

2019 ◽  
Vol 9 (11) ◽  
pp. 2347 ◽  
Author(s):  
Hannah Kim ◽  
Young-Seob Jeong
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Classification ◽  
State Of The Art ◽  
Sentiment Classification ◽  
Learning Models ◽  
Text Data ◽  
Textual Data ◽  
Better Than

As the number of textual data is exponentially increasing, it becomes more important to develop models to analyze the text data automatically. The texts may contain various labels such as gender, age, country, sentiment, and so forth. Using such labels may bring benefits to some industrial fields, so many studies of text classification have appeared. Recently, the Convolutional Neural Network (CNN) has been adopted for the task of text classification and has shown quite successful results. In this paper, we propose convolutional neural networks for the task of sentiment classification. Through experiments with three well-known datasets, we show that employing consecutive convolutional layers is effective for relatively longer texts, and our networks are better than other state-of-the-art deep learning models.

Text Classification Using Parallel Word-level and Character-level Embeddings in Convolutional Neural Networks

2019 ◽  
Vol 29 (4) ◽  
pp. 771-788 ◽  
Author(s):  
Geonu Kim ◽  
◽  
Jungyeon Jang ◽  
Juwon Lee ◽  
Kitae Kim ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Text Classification ◽  
Word Level
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