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Post-processing method with aspect term error correction for enhancing aspect term extraction
Applied Intelligence, 2022Ruyan Wang +5 more
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Expert Systems With Applications, 2022
Manju Venugopalan, Deepa Gupta
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Manju Venugopalan, Deepa Gupta
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Densely-connected neural networks for aspect term extraction
Science China Information Sciences, 2021Chen Chen +3 more
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Self-augmented sequentiality-aware encoding for aspect term extraction
Information Processing & ManagementQingting Xu +4 more
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Aspect term extraction via adaptive fusion of sequential and hierarchical representation
Journal of information science, 2023In aspect-based sentiment analysis, a fundamental task is extracting aspect terms from opinionated sentences. Aspect term extraction (ATE) has been found to play a critical role among several scenarios, such as service quality improvement and ...
Lili Shang, Meiyun Zuo
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Aspect Term Extraction Improvement Based on a Hybrid Method
International Syposium on Methodologies for Intelligent Systems, 2022Sarsabene Hammi +2 more
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Prominent Aspect Term Extraction in Aspect Based Sentiment Analysis
2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), 2018In recent years unstructured text has flooded on the web and today it is a trend to comments, give feedback, share experiences toward products, articles, social issues, multimedia web documents etc. Most of the online social, as well as, commercial platform have started to provide separate space for user reviews in the form of natural text.
Ganpat Singh Chauhan, Yogesh Kumar Meena
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Joint aspect terms extraction and aspect categories detection via multi-task learning
Expert Systems with Applications, 2021Abstract Aspect Terms Extraction (ATE) and Aspect Categories Detection (ACD) are two fundamental sub-tasks for aspect-based sentiment analysis. Most of the existing works mainly focus on the ATE task or the co-extraction of aspect terms and opinion words, while few attention are paid to the ACD task.
Youcai Wei +5 more
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A span-based model for aspect terms extraction and aspect sentiment classification
Neural Computing and Applications, 2020Sentiment analysis is a field of natural language processing, which is used to identify and extract opinions and attitudes from text. Aspect-based sentiment analysis aims to extract aspect terms and predict sentiment categories of the opinion aspects. It includes two subtasks: aspect terms extraction and aspect sentiment classification.
Yanxia Lv +5 more
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