Results 11 to 20 of about 4,563 (261)
Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification [PDF]
Knowledge-Based Systems, 2020 Aspect-level sentiment classification aims to distinguish the sentiment polarities over one or more aspect terms in a sentence. Existing approaches mostly model different aspects in one sentence independently, which ignore the sentiment dependencies between different aspects.
Pinlong Zhao, Linlin Hou, Ou Wu 0001
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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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Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification
IEEE Access, 2020 Aspect-level sentiment classification aims to determine sentiment polarities of various aspects in reviews, where each review typically contains multiple aspects, that may correspond to different polarities.
Zhuojia Wu +5 more
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Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 11 pages, Findings of EMNLP'2021, 7th-11th November ...
Bo Wang 0069 +4 more
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Aspect Level Sentiment Classification with Deep Memory Network [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 published in EMNLP ...
Duyu Tang, Bing Qin 0001, Ting Liu 0001
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A Lexicon-Enhanced Attention Network for Aspect-Level Sentiment Analysis
IEEE Access, 2020 Aspect-level sentiment classification is a fine-grained task in sentiment analysis. In recent years, researchers have realized the importance of the relationship between aspect term and sentence and many classification models based on deep learning ...
Zhiying Ren +5 more
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Exploring BERT for Aspect Extraction in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment Analysis is the computer science field that comprises techniques that aim to automatically extract opinions from texts. Usually, these techniques assign a Sentiment Orientation to the whole document (Document Level Sentiment Analysis).
Émerson Lopes +2 more
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MSFNet: modality smoothing fusion network for multimodal aspect-based sentiment analysis
Frontiers in Physics, 2023 Multimodal aspect-based sentiment classification (MABSC) aims to determine the sentiment polarity of a given aspect in a sentence by combining text and image information.
Yan Xiang +5 more
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Attention-based LSTM for Aspect-level Sentiment Classification [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 Aspect-level sentiment classification is a fine-grained task in sentiment analysis. Since it provides more complete and in-depth results, aspect-level sentiment analysis has received much attention these years. In this paper, we reveal that the sentiment polarity of a sentence is not only determined by the content but is also highly related to the ...
Yequan Wang +3 more
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Benchmarking Deep Learning Methods for Aspect Level Sentiment Classification
Applied Sciences, 2021 With the advancements in processing units and easy availability of cloud-based GPU servers, many deep learning-based methods have been proposed for Aspect Level Sentiment Classification (ALSC) literature. With this increase in the number of deep learning
Tanu Sharma, Kamaldeep Kaur
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