Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis-Reference-Cited by-同舟云学术

Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis

Published:2020-02 Issue: Volume:378 Page:315-323
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Giménez Maite^ORCID,Palanca Javier^ORCID,Botti Vicent^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference53 articles.

1. Text detection and recognition in imagery: a survey;Ye;IEEE Trans. Pattern Anal. Mach. Intell.,2015

2. Face recognition: a literature survey;Zhao;ACM Comput. Surv. (CSUR),2003

3. Deep residual learning for image recognition;He,2016

4. Imagenet classification with deep convolutional neural networks;Krizhevsky,2012

5. Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts;Li;Expert Syst. Appl.,2019

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Successive lag synchronization of distributed-order multilayer neural networks with the short-term memory property;Applied Mathematics and Computation;2024-10

2. Enhancing parcel singulation efficiency through transformer-based position attention and state space augmentation;Expert Systems with Applications;2024-08

3. An end-to-end multi-task motor imagery EEG classification neural network based on dynamic fusion of spectral-temporal features;Computers in Biology and Medicine;2024-08

4. A detailed analysis of the interpretability of Convolutional Neural Networks for text classification;Logic Journal of the IGPL;2024-07-04

5. Assessing a BERT-based model for analyzing subjectivity and classifying academic articles;Multimedia Tools and Applications;2024-06-17