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Compound Aspect Extraction by Augmentation and Constituency Lattice
IEEE Transactions on Affective Computing, 2023Aspects are opinion targets to extract in aspect-based sentiment analysis. While existing methods can already produce satisfactory extraction results, they suffer when faced with compound aspect terms, typically phrase-level aspect terms that have inner ...
Xiaojun Quan +3 more
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Automatic Aspect Extraction from Scientific Texts
International Joint Conference on the Analysis of Images, Social Networks and Texts, 2023Being able to extract from scientific papers their main points, key insights, and other important information, referred to here as aspects, might facilitate the process of conducting a scientific literature review.
Anna Marshalova, E. Bruches, T. Batura
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Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer
IEEE Transactions on Neural Networks and Learning Systems, 2021Fine-grained aspect term extraction is an essential subtask in aspect-based opinion analysis. It aims to identify the aspect terms (also known as opinion targets) of a product or service in each sentence.
Tao Liang, Wenya Wang, Fengmao Lv
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TADC: A Topic-Aware Dynamic Convolutional Neural Network for Aspect Extraction
IEEE Transactions on Neural Networks and Learning Systems, 2021Aspect extraction is one of the key tasks in fine-grained sentiment analysis. This task aims to identify explicit opinion targets from user-generated documents.
Zusheng Zhang +4 more
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A rule based approach for aspect extraction in hindi reviews
Journal of Intelligent & Fuzzy Systems, 2021Fast growth of technology and the tremendous growth of population has made millions of people to be active participants on social networking forums. The experiences shared by the participants on different websites is highly useful not only to customers ...
Chinmayee Ojha +2 more
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BERT-based implicit aspect extraction
2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2021The traditional implicit aspect extraction methods require too much manual feature engineering, which are inefficient when processing large-scale data. To address the problem, BERT-based model with different kinds of classifiers is proposed.
Lanlan Wang, C. Yao, Xu Li, Xiaoqiang Yu
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Improving aspect-level sentiment analysis with aspect extraction
Neural computing & applications (Print), 2020Aspect-based sentiment analysis (ABSA), a popular research area in NLP, has two distinct parts—aspect extraction (AE) and labelling the aspects with sentiment polarity (ALSA). Although distinct, these two tasks are highly correlated.
Navonil Majumder +6 more
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Aspect Extraction for Tourist Spot Review in Indonesian Language using BERT
Digital Signal Processing and Signal Processing Education Workshop, 2020Review is an essential aspect to support decision making in various fields and industries, with tourism being one of them. With the emergence of Internet, especially the Web 2.0, feedbacks and reviews can now be found easily from forums, blogs, and ...
Muhamad Rizky Yanuar, Shun Shiramatsu
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Aspect Extraction Using Coreference Resolution and Unsupervised Filtering
AACL, 2020Aspect extraction is a widely researched field of natural language processing in which aspects are identified from the text as a means for information. For example, in aspect-based sentiment analysis (ABSA), aspects need to be first identified.
D. Mai, Wei Emma Zhang
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Intelligent fake reviews detection based on aspect extraction and analysis using deep learning
Neural computing & applications (Print), 2022Gourav Bathla +4 more
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