Scientific Research Publishing

Layer Cake: On Language Representation and Compute Characteristics in Text Classification ()

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.
Frontiers

EEG-based emotion recognition using hybrid CNN and LSTM classification

Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as physical, behavioral, and mental changes. In the latest days, physiological activity has been used to study ...
Frontiers

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM

The constantly evolving human–machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, and ...
IEEE

A Long-Text Classification Method of Chinese News Based on BERT and CNN

Abstract: Text Classification is an important research area in natural language processing (NLP) that has received a considerable amount of scholarly attention in recent years. However, real Chinese ...
GitHub

Text classification with Convolution Neural Networks (CNN)

Combine word-level with character-based input. The char input ist optional and can be used for further reasearch. Change padding of conv-layer from same to valid. Add average pooling after conv-layer ...
Scientific Research Publishing

Review of Text Classification in Deep Learning ()

1 College of Science, Yanbian University, Yanji, China. 2 Department of Economics and Management of Yanbian University, Yanji, China. Natural language processing is to use computers to process and use ...