articleTop 1% cited
Bidirectional LSTM with attention mechanism and convolutional layer for text classification
Neurocomputing · 2019 · Vol. 337 · pp. 325–338
Gang Liu(Hubei University of Technology)Jiabao Guo✉(Hubei University of Technology)
Topic ModelingSentiment Analysis and Opinion MiningText and Document Classification TechnologiesComputer scienceSoftmax functionArtificial intelligenceSentenceNatural language processingWord embeddingClassifier (UML)Convolutional neural networkPhraseContext (archaeology)
Funding
- National Natural Science Foundation of China
Citations
1,101
FWCI
66.85
field-weighted impact
References
147
Percentile
100%
vs. same field & year
Citations per year
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References
Approximation of dynamical systems by continuous time recurrent neural networks
Neural Networks · 1993 · 969 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
Deep learning in neural networks: An overview
Neural Networks · 2014 · 17,774 citations
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Neural Networks · 2005 · 5,322 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
Expert Systems with Applications · 2016 · 732 citations
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