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Aspect-Level Sentiment Classification with Conv-Attention Mechanism

2018
The aim of aspect-level sentiment classification is to identify the sentiment polarity of a sentence about a target aspect. Existing methods model the context sequence with recurrent network and employ attention mechanism to generate aspect-specific representations.
Qian Yi   +3 more
openaire   +1 more source

Revising Attention with Position for Aspect-Level Sentiment Classification

2019
As a fine-grained classification task, aspect-level sentiment classification aims at determining the sentiment polarity given a particular target in a sentence. The key point of this task is to distinguish target-related words and target-unrelated words. To this end, attention mechanism is introduced into this task, which assigns high attention weights
Dong Wang 0029   +2 more
openaire   +1 more source

A Survey on Aspect-Based Sentiment Classification

ACM Computing Surveys, 2023
Gianni Brauwers, Flavius Frasincar
exaly  

Aspect-Based Sentiment Classification: Survey

2023
Snehal Sarangi   +2 more
openaire   +1 more source

Aspect extraction and classification for sentiment analysis in drug reviews

Journal of Intelligent Information Systems, 2022
Mostafa Imani, Samira Noferesti
openaire   +1 more source

GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification

Expert Systems With Applications, 2021
Xiaofei Zhu   +2 more
exaly  

Aspect-based Sentiment Classification via Reinforcement Learning

2021 IEEE International Conference on Data Mining (ICDM), 2021
Lichen Wang   +8 more
openaire   +1 more source

Context Iterative Learning for Aspect-Level Sentiment Classification

2022
Wenting Yu   +4 more
openaire   +1 more source

Hierarchical Interactive Network for joint aspect extraction and sentiment classification

Knowledge-Based Systems, 2022
Peiqin Lin, Wanqi Zhang, Jinglong Du
exaly  

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