Results 231 to 240 of about 4,563 (261)

Aspect Level Sentiment Classification Based on Double Attention Mechanism

Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science, 2019
Aspect sentiment classification is a fine-grained sentiment classification method, which is used to identify the sentimental polarity of a given aspect word in one sentence. Among the existing aspect-level sentiment classification methods, the deep learning model with the attention mechanism solves the problem of key word recognition in sentiment ...
Cui Zhang, Maojie Zhou
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Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification

2019
Aspect-level sentiment classification aims to identify the polarity of a target word in a sentence. Studies on sentiment classification have found that a target’s surrounding words have great impacts and global attention to the target. However, existing neural-network-based models either depend on expensive phrase-level annotation or do not fully ...
Yueheng Sun, Xianchen Wang, Hongtao Liu 0008, Wenjun Wang 0002, Pengfei Jiao   +4 more
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A Position-aware Transformation Network for Aspect-level Sentiment Classification

2019 International Joint Conference on Neural Networks (IJCNN), 2019
This paper introduce a novel Position-aware Transformation Network (PTNet) for aspect-level sentiment classification. On the one hand, attention mechanisms have been employed to model the relationship between aspect and context. However, the position information of aspect words is rarely emphasized for sentiment prediction.
Tao Jiang 0059, Jiahai Wang, Youwei Song, Yanghui Rao   +3 more
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Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention

2019
Aspect-level sentiment classification aims to predict the sentiment polarity towards the given aspects of sentences. Neural network models with attention mechanism have achieved great success in this area. However, existing methods fail to capture enough aspect information. Besides, it is hard for simple attention mechanism to model complex interaction
Yunkai Yang, Tieyun Qian, Zhuang Chen 0002   +2 more
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Context Iterative Learning for Aspect-Level Sentiment Classification

2022
Wenting Yu, Xiaoye Wang, Peng Yang, Yingyuan Xiao, Jinsong Wang   +4 more
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Two-Stage Attention Network for Aspect-Level Sentiment Classification

2018
Currently, most of attention-based works adopt single-stage attention processes during generating context representations toward aspect, but their work lacks the deliberation process: A generated and aspect-related representation is directly used as final output without further polishing.
Kai Gao 0006, Hua Xu 0003, Chengliang Gao, Xiaomin Sun 0001, Junhui Deng, Xiaoming Zhang   +5 more
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A Sentiment and Syntactic-Aware Graph Convolutional Network for Aspect-Level Sentiment Classification

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Yuxin Yang, Xia Sun, Qiang Lu 0006, Richard F. E. Sutcliffe, Jun Feng 0003   +4 more
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Triple Tag Network for Aspect-Level Sentiment Classification

2021
Guangtao Xu, Peiyu Liu 0001, Zhenfang Zhu, Ru Wang 0001, Fuyong Xu, Dun Jin   +5 more
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The Constrained Interaction Network for Aspect-level Sentiment Classification Task

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT), 2022
Rongcheng Duan, Yao Qin, Haokun He, Chang Cai   +3 more
openaire   +2 more sources

Prompt-Based Learning for Aspect-Level Sentiment Classification

2023
Guowei Li, Fuqiang Lin, WangQun Chen, DiWen Dong, Bo Liu 0014   +4 more
openaire   +1 more source