Results 31 to 40 of about 144,225 (306)
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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Transfer Capsule Network for Aspect Level Sentiment Classification [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 Aspect-level sentiment classification aims to determine the sentiment polarity of a sentence towards an aspect. Due to the high cost in annotation, the lack of aspect-level labeled data becomes a major obstacle in this area. On the other hand, document-level labeled data like reviews are easily accessible from online websites.
Zhuang Chen 0002, Tieyun Qian
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Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
IEEE Access, 2020 Aspect-level sentiment analysis is a fine-grained sentiment analysis task designed to identify the sentiment polarity of specific target in a sentence. However, this task is rarely used in drug reviews.
Yue Han, Meiling Liu, Weipeng Jing
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Connection Science, 2022 Aspect-level sentiment classification, a significant task of fine-grained sentiment analysis, aims to identify the sentimental information expressed in each aspect of a given sentence The existing methods combine global features and local structures to ...
Subo Wei +4 more
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Multi-grained Attention Network for Aspect-Level Sentiment Classification [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 Proponemos un modelo novedoso de red de atención multigrano (MGAN) para la clasificación de sentimientos a nivel de aspecto. Los enfoques existentes adoptan principalmente un mecanismo de atención de grano grueso, que puede traer pérdida de información si el aspecto tiene varias palabras o un contexto más amplio.
Feifan Fan, Yansong Feng, Dongyan Zhao
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Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 We introduce a novel parameterized convolutional neural network for aspect level sentiment classification. Using parameterized filters and parameterized gates, we incorporate aspect information into convolutional neural networks (CNN). Experiments demonstrate that our parameterized filters and parameterized gates effectively capture the aspect-specific
Binxuan Huang, Kathleen M. Carley
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Aspect-based Sentiment Classification for Word Information Enhancement Based on Sentence Information [PDF]
Jisuanji kexueAspect-based sentiment classification is a fine-grained sentiment classification task that aims to determine the sentiment polarity of specified aspect terms in a sentence.In recent years,syntactic knowledge has been widely applied in the field of aspect-
LI Yilin, SUN Chengsheng, LUO Lin, JU Shenggen
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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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Aspect-Level Sentiment Classification Based on Auto-Adaptive Model Transfer
IEEE Access, 2023 Aspect-level sentiment classification (ASC) is a fine-grained sentiment analysis task that involves detecting the sentiment polarity of a specific opinion target in a given sentence.
Weihao Zheng +4 more
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Sequence Prediction Model for Aspect-Level Sentiment Classification
, 2020 Qianlong Wang, Jiangtao Ren
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