Aspect Term Extraction Based on MFE-CRF [PDF]
Information, 2018 This paper is focused on aspect term extraction in aspect-based sentiment analysis (ABSA), which is one of the hot spots in natural language processing (NLP).
Yanmin Xiang, Hongye He, Jin Zheng
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Aspect term extraction based on word embedding [PDF]
Труды Института системного программирования РАН, 2018 There are many sites in the Internet that allow users to share their opinions and write reviews about all kinds of goods and services. These views may be useful not only for other users, but also for companies which want to track their own reputation and
D. O. Mashkin, E. V. Kotelnikov
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A Knowledge-Driven Approach for Automatic Semantic Aspect Term Extraction Using the Semantic Power of Linked Open Data [PDF]
Applied SciencesAspect-Based Sentiment Analysis (ABSA) is a crucial process for assessing customer feedback and gauging satisfaction with products or services. It typically consists of three stages: Aspect Term Extraction (ATE), Aspect Categorization Extraction (ACE ...
Worapoj Suwanpipob +2 more
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Data Science and ManagementAs an important subtask of fine-grained sentiment analysis, aspect term extraction (ATE) aims to identify aspect terms within user-generated comments. ATE supervised learning approaches are heavily based on the availability of annotated data with token ...
Chunjun Zhao +3 more
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Aspect term extraction via information-augmented neural network [PDF]
Complex & Intelligent Systems, 2022 Aspect term extraction (ATE) aims at identifying the aspect terms that are expressed in a sentence. Recently, Seq2Seq learning has been employed in ATE and significantly improved performance.
Ning Liu, Bo Shen
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ATEdrug: A reliable human-in-the-loop annotation scheme for aspect term extraction and polarity detection in drug reviews [PDF]
PLoS ONEPharmacovigilance is vital for post-market drug safety monitoring. Traditional trials inadequately capture adverse reactions. Patient-generated opinions offer valuable insights but pose challenges due to limited availability, inefficient annotation ...
Gunjan Ansari +5 more
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Deep aspect extraction and classification for opinion mining in e‐commerce applications using convolutional neural network feature extraction followed by long short term memory attention model [PDF]
Applied AI Letters, 2023 Users of e‐commerce websites review different aspects of a product in the comment section. In this research, an approach is proposed for opinion aspect extraction and recognition in selling systems.
Kamal Sharbatian +1 more
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External-knowledge enhanced dual encoder and contrastive learning for aspect sentiment triplet extraction. [PDF]
PLoS ONEAspect Sentiment Triplet Extraction (ASTE) is an emerging subtask of Aspect-Based Sentiment Analysis (ABSA), aiming to extract aspect terms, opinion terms, and the corresponding sentiment polarity from sentences.
Yuan Huang +3 more
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BERT-Based Joint Model for Aspect Term Extraction and Aspect Polarity Detection in Arabic Text [PDF]
Electronics (Switzerland), 2023 Hasna Chouikhi +2 more
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Aspect Term Extraction Using Deep Learning Model with Minimal Feature Engineering [PDF]
Advanced Information Systems Engineering32nd International Conference, 2020 Zschornack Rodrigues Saraiva F +2 more
europepmc +3 more sources