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Multi-task learning for aspect term extraction and aspect sentiment classification
Neurocomputing, 2020Abstract Aspect sentiment classification has a dependency over the aspect term extraction. The majority of the existing studies tackle these two problems independently, i.e., while performing aspect sentiment classification, it is assumed that the aspect terms are pre-identified. However, such assumptions are neither practical nor appropriate.
Md Shad Akhtar, Asif Ekbal
exaly +2 more sources
Unsupervised model for aspect categorization and implicit aspect extraction
Knowledge and Information Systems, 2022Omar Mustafa Al-Janabi +2 more
openaire +2 more sources
Aspect extraction for opinion mining with a deep convolutional neural network
Knowledge-Based Systems, 2016Soujanya Poria +2 more
exaly +2 more sources
Comprehensive vulnerability aspect extraction
Applied IntelligenceQindong Li +4 more
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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
semanticscholar +1 more source
A new topic modeling based approach for aspect extraction in aspect based sentiment analysis: SS-LDA
Expert systems with applications, 2020With the widespread use of social networks, blogs, forums and e-commerce web sites, the volume of user generated textual data is growing exponentially. User opinions in product reviews or in other textual data are crucial for manufacturers, retailers and
B. Özyurt, M. Ali Akcayol
semanticscholar +1 more source
Aspect Extraction with Bidirectional GRU and CRF
2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF), 2019Opinion mining or sentiment analysis used to understand the community's opinions on a particular product. Sentiment analysis involves building the opinion collection and classification system. One of the most crucial tasks of sentiment analysis is the ability to extract aspects or features that opinions expressed on.
Trang Uyen Tran +2 more
openaire +1 more source
An improved Bi-LSTM performance using Dt-WE for implicit aspect extraction
2022 International Conference on Data Science and Intelligent Computing (ICDSIC), 2022In aspect-based sentiment analysis ABSA, implicit aspects extraction is a fine-grained task aim for extracting the hidden aspect in the in-context meaning of the online reviews.
Omar Mustafa Al-Janabi +4 more
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source