Results 21 to 30 of about 4,563 (261)
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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Exploiting Document Knowledge for Aspect-level Sentiment Classification [PDF]
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2018 Accepted to ACL 2018 (short paper)
Ruidan He +3 more
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Interactive Attention Networks for Aspect-Level Sentiment Classification [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in sentiment classification and developed various methods with the goal of precisely modeling thier contexts via generating target-specific representations.
Dehong Ma +3 more
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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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TASKS AND METHODS OF TEXT SENTIMENT ANALYSIS
Scientific Journal of Astana IT University, 2023 The purpose of this article is to study one of the methods of social networks analysis – text sentiment analysis. Today, social media has become a big data base that social network analysis is used for various purposes – from setting up targeted ...
А. Mukasheva
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Interactive POS-aware network for aspect-level sentiment classification [PDF]
Neurocomputing, 2021 Existing aspect-level sentiment-classification models completely rely on the learning from given data-sets. However, these are easily misled by biased samples, resulting in learning some ill-suited rules thatlimit their potential. The information of some specific part-of-speech (POS) categories often indicates theword sentiment polarity, which can be ...
Kai Shuang +4 more
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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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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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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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