Filter gate network based on multi-head attention for aspect-level sentiment classification
Z Zhou - Neurocomputing, 2021 - Elsevier
Aspect-level sentiment classification (ASC) is an important branch of sentiment analysis. Its
purpose is to identify the sentiment polarity of the context for a given aspect. In recent years …
purpose is to identify the sentiment polarity of the context for a given aspect. In recent years …
[PDF][PDF] 基于二次特征提取和BiLSTM-Attention 的网络流量异常检测方法
潘成胜， 李志祥， 杨雯升， 蔡凌云， 金爱鑫 - 电子与信息学报, 2023 - jeit.ac.cn
针对传统的网络流量异常检测方法存在识别准确度低, 表征能力弱, 泛化能力差,
忽略了特征之间的相互关系等问题, 该文提出一种基于二次特征提取和BiLSTM-Attention …
忽略了特征之间的相互关系等问题, 该文提出一种基于二次特征提取和BiLSTM-Attention …
A novel hierarchical attention-based method for aspect-level sentiment classification
A Lakizadeh, Z Zinaty - Journal of AI and data mining, 2021 - jad.shahroodut.ac.ir
Aspect-level sentiment classification is an essential issue in sentiment analysis that intends
to resolve the sentiment polarity of a specific aspect mentioned in the input text. Recent …
to resolve the sentiment polarity of a specific aspect mentioned in the input text. Recent …
Anomaly detection method of network traffic based on secondary feature extraction and BiLSTM-attention
C PAN, Z LI, W YANG, L CAI, A JIN - 电子与信息学报, 2023 - jeit.ac.cn
Focusing on the problems of the traditional network traffic anomaly detection methods, such
as low recognition accuracy, weak representation ability, poor generalization ability, and …
as low recognition accuracy, weak representation ability, poor generalization ability, and …