Aspect and Opinion Term Extraction Using Graph Attention Network [PDF]
CoRRIn this work we investigate the capability of Graph Attention Network for extracting aspect and opinion terms. Aspect and opinion term extraction is posed as a token-level classification task akin to named entity recognition. We use the dependency tree of the input query as additional feature in a Graph Attention Network along with the token and part ...
Abir Chakraborty
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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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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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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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An ensemble approach for aspect term extraction in Turkish texts
Pamukkale University Journal of Engineering Sciences, 2022 Mehmet Umut Salur +2 more
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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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Aspect Term Extraction with History Attention and Selective Transformation [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment Analysis, aims to extract explicit aspect expressions from online user reviews. We present a new framework for tackling ATE. It can exploit two useful clues, namely opinion summary and aspect detection history.
Xin Li 0056 +4 more
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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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