Results 21 to 30 of about 583,468 (318)
Joint Modeling Based on Multi-task Learning for Aspect Term Extraction and Sen-timent Classification [PDF]
Jisuanji kexue yu tansuo, 2023 Fine-grained aspect-based sentiment analysis involves aspect term extraction and aspect sentiment classi-fication. Most existing research methods address them in an independent fashion, which lack a mechanism to account for the relevant information ...
MENG Tiantian, HAN Hu, WU Yuanhang
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Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023 Hasna Chouikhi +2 more
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Enhancing Aspect Term Extraction with Soft Prototypes [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Aspect term extraction (ATE) aims to extract aspect terms from a review sentence that users have expressed opinions on. Existing studies mostly focus on designing neural sequence taggers to extract linguistic features from the token level. However, since the aspect terms and context words usually exhibit long-tail distributions, these taggers often ...
Zhuang Chen, Tieyun Qian
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Opinion Triplet Extraction for Aspect-Based Sentiment Analysis Using Co-Extraction Approach
Journal of ICT, 2022 In aspect-based sentiment analysis, tasks are diverse and consist of aspect term extraction, aspect categorization, opinion term extraction, sentiment polarity classification, and relation extractions of aspect and opinion terms.
Rifo Ahmad Genadi +1 more
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Adaptive Local Context and Syntactic Feature Modeling for Aspect-Based Sentiment Analysis
Applied Sciences, 2023 Aspect-based sentiment analysis is a fine-grained sentiment analysis task that consists of two types of subtasks: aspect term extraction and aspect sentiment classification. In the aspect term extraction task, current methods suffer from the lack of fine-
Jie Huang, Yunpeng Cui, Shuo Wang
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A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
Mathematics, 2023 Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
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A Method for Improving Performance of Opinion Targets Extraction by Evaluating Category Classification [PDF]
Jisuanji gongcheng, 2022 Opinion targets extraction is mainly used for text opinion mining to discover evaluation object entities in review texts.The algorithm based on an unsupervised autoencoder can identify hidden topic information in the review corpus without manual ...
CUI Weiqi, YAN Xin, TENG Lei, CHEN Wei, XU Guangyi
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Soft prompt enhanced joint learning for cross-domain aspect-based sentiment analysis
Intelligent Systems with Applications, 2023 Aspect term extraction is a fundamental task in fine-grained sentiment analysis, aiming to detect customer's opinion targets from reviews about products or services.
Jingli Shi +4 more
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IIM: an information interaction mechanism for aspect-based sentiment analysis
Connection Science, 2023 Term polarity co-extraction is an aspect-based sentiment analysis task, which has been widely used in the fields of user opinions extraction. It consists of two subtasks: aspect term extraction and aspect sentiment classification.
Le Chen, Lina Ge, Wei Zhou
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SmartTips: Online Products Recommendations System Based on Analyzing Customers Reviews
Applied Sciences, 2022 Online customers’ opinions represent a significant resource for both customers and enterprises to extract much information that helps them make the right decision. Finding relevant data while searching the internet is a big challenge for web users, known
Noaman M. Ali +3 more
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