Results 21 to 30 of about 448,200 (183)
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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DLIREC: Aspect Term Extraction and Term Polarity Classification System [PDF]
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014 This paper describes our system used in the Aspect Based Sentiment Analysis Task 4 at the SemEval-2014. Our system consists of two components to address two of the subtasks respectively: a Conditional Random Field (CRF) based classifier for Aspect Term Extraction (ATE) and a linear classifier for Aspect Term Polarity Classification (ATP).
Zhiqiang Toh, Wenting Wang
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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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App2Check @ ATE_ABSITA 2020: Aspect Term Extraction and Aspect-based Sentiment Analysis [PDF]
, 2020 In this paper we describe and present the results of the system we specifically developed and submitted for our participation to the ATE_ABSITA 2020 evaluation campaign on the Aspect Term Extraction (ATE), Aspect-based Sentiment Analysis (ABSA), and Sentiment Analysis (SA) tasks.
Di Rosa, Emanuele, Durante, Alberto
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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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Computers, Materials & Continua, 2023 The Internet has become one of the significant sources for sharing information and expressing users’ opinions about products and their interests with the associated aspects.
Bishrul Haq +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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International Journal of Advanced Computer Science and Applications, 2023 —Aspect term extraction is a crucial subtask in aspect-based sentiment analysis that aims to discover the aspect terms presented in a text. In this paper, a method for ATE is proposed that employs dilated convolution layers to extract feature vectors in ...
Yuyu Xiong +4 more
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