Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification
W Li, F Qi, M Tang, Z Yu - Neurocomputing, 2020 - Elsevier
There are a lot of linguistic knowledge and sentiment resources nowadays, but in the current
research with deep learning framework, these kinds of unique sentiment information are not …
research with deep learning framework, these kinds of unique sentiment information are not …
Combination of convolutional neural network and gated recurrent unit for aspect-based sentiment analysis
N Zhao, H Gao, X Wen, H Li - IEEE Access, 2021 - ieeexplore.ieee.org
Aspect-based sentiment analysis (ABSA) aims to identify views and sentiment polarities
towards a given aspect in reviews. Compared with general sentiment analysis, ABSA can …
towards a given aspect in reviews. Compared with general sentiment analysis, ABSA can …
Sk2: Integrating implicit sentiment knowledge and explicit syntax knowledge for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) plays an indispensable role in web mining and
retrieval system as it involves a wide range of tasks, including aspect term extraction …
retrieval system as it involves a wide range of tasks, including aspect term extraction …
Cross-modal image sentiment analysis via deep correlation of textual semantic
KE Zhang, Y Zhu, W Zhang, Y Zhu - Knowledge-Based Systems, 2021 - Elsevier
Social media has become indispensable to people's lives, where they can share their views
and emotion with images and texts. Analyzing social images for sentiment prediction can …
and emotion with images and texts. Analyzing social images for sentiment prediction can …
Fall detection with wearable sensors: A hierarchical attention-based convolutional neural network approach
Falls are among the most life-threatening events that challenge senior citizens' independent
living. Wearable sensor technologies have emerged as a viable solution for fall detection …
living. Wearable sensor technologies have emerged as a viable solution for fall detection …
基于BiGRU-attention 神经网络的文本情感分类模型.
王伟， 孙玉霞， 齐庆杰， 孟祥福 - Application Research of …, 2019 - search.ebscohost.com
针对双向长短时记忆神经(BiLSTM) 模型训练时间长, 不能充分学习文本上下文信息的问题,
提出一种基于BiGRU attention 的文本情感分类模型. 首先, 利用双向门控循环(BiGRU) …
提出一种基于BiGRU attention 的文本情感分类模型. 首先, 利用双向门控循环(BiGRU) …
混合策略改进的鲸鱼优化算法.
郝晓弘， 宋吉祥， 周强， 马明 - Application Research of …, 2020 - search.ebscohost.com
针对标准鲸鱼优化算法易出现搜索速度慢, 寻优精度低及早熟收敛等问题,
提出一种混合策略改进的鲸鱼优化算法. 首先采用混沌映射生成初始种群增加种群多样性 …
提出一种混合策略改进的鲸鱼优化算法. 首先采用混沌映射生成初始种群增加种群多样性 …
Enhancing aspect-based sentiment analysis with capsule network
J Su, S Yu, D Luo - IEEE Access, 2020 - ieeexplore.ieee.org
Existing feature-based neural approaches for aspect-based sentiment analysis (ABSA) try to
improve their performance with pre-trained word embeddings and by modeling the relations …
improve their performance with pre-trained word embeddings and by modeling the relations …
Feature fusion text classification model combining CNN and BiGRU with multi-attention mechanism
J Zhang, F Liu, W Xu, H Yu - Future Internet, 2019 - mdpi.com
Convolutional neural networks (CNN) and long short-term memory (LSTM) have gained
wide recognition in the field of natural language processing. However, due to the pre-and …
wide recognition in the field of natural language processing. However, due to the pre-and …