Chinese text dual attention network for aspect-level sentiment classification. [PDF]
PLoS ONEEnglish text has a clear and compact subject structure, which makes it easy to find dependency relationships between words. However, Chinese text often conveys information using situational settings, which results in loose sentence structures, and even ...
Xinjie Sun +4 more
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Aspect-level sentiment classification with fused local and global context [PDF]
Journal of Big Data, 2023 Sentiment analysis aims to determine the sentiment orientation of a text piece (sentence or document), but many practical applications require more in-depth analysis, which makes finer-grained sentiment classification the ideal solution.
Ao Feng +3 more
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CE-HEAT: An Aspect-Level Sentiment Classification Approach With Collaborative Extraction Hierarchical Attention Network [PDF]
IEEE Access, 2019 Aspect-level sentiment classification is a fine-grained sentiment analysis task. It aims to predict the sentiment of a review in different aspects. Recently many works exploit the hierarchical attention network to capture the aspect-specific sentiment ...
Yang Gao, Jianxun Liu, Pei Li, Dong Zhou
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Performance analysis of aspect-level sentiment classification task based on different deep learning models [PDF]
PeerJ Computer Science, 2023 Aspect-level sentiment classification task (ASCT) is a natural language processing task that aims to correctly identify specific aspects and determine their sentiment polarity from a given target sentence.
Feifei Cao, Xiaomin Huang
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Contextual Graph Attention Network for Aspect-Level Sentiment Classification [PDF]
Mathematics, 2022 Aspect-level sentiment classification aims to predict the sentiment polarities towards the target aspects given in sentences. To address the issues of insufficient semantic information extraction and high computational complexity of attention mechanisms ...
Yuqing Miao +6 more
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A KGE Based Knowledge Enhancing Method for Aspect-Level Sentiment Classification [PDF]
Mathematics, 2022 ALSC (Aspect-level Sentiment Classification) is a fine-grained task in the field of NLP (Natural Language Processing) which aims to identify the sentiment toward a given aspect.
Haibo Yu +3 more
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TASCI: transformers for aspect-based sentiment analysis with contextual intent integration [PDF]
PeerJ Computer ScienceIn this article, we present a novel Transformer-Based Aspect-Level Sentiment Classification with Intent (TASCI) model, designed to enhance sentiment analysis by integrating aspect-level sentiment classification with intent analysis. Traditional sentiment
Hassan Nazeer Chaudhry +5 more
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Interactive Multi-Head Attention Networks for Aspect-Level Sentiment Classification [PDF]
IEEE Access, 2019 Aspect-level sentiment classification (ASC) has received much attention these years. With the successful application of attention networks in many fields, attention-based ASC has aroused great interest.
Qiuyue Zhang +4 more
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Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges [PDF]
IEEE Access, 2019 This survey focuses on deep learning-based aspect-level sentiment classification (ASC), which aims to decide the sentiment polarity for an aspect mentioned within the document.
Jie Zhou +5 more
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Aspect-level multimodal sentiment analysis model based on multi-scale feature extraction [PDF]
Scientific ReportsIn existing multimodal sentiment analysis methods, only the last layer output of BERT is typically used for feature extraction, neglecting abundant information from intermediate layers.
Bocheng Miao, Changbo Xu
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