Quantifying Review Informativeness With Aspect-Aware Knowledge Graphs and Linguistic Parsing
IEEE AccessThe increasing reliance on user reviews for decision-making has elevated the role of online reviews on e-commerce platforms, yet the surge in generic, vague, or promotional content undermines their informativeness and credibility.
Rania A. AlQadi +3 more
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How will mandibular third molar surgery affect mandibular second molar periodontal parameters?
Dental Research Journal, 2013 Background: Several conflicting findings have been published in the previous literature regarding the effects of impacted third molar surgery on the periodontal parameters of the adjacent second molar; some authors have shown improvement of periodontal ...
Reza Tabrizi +2 more
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Aspect-Based Sentiment Analysis Through Graph Convolutional Networks and Joint Task Learning
InformationAspect-based sentiment analysis (ABSA) through joint task learning aims to simultaneously identify aspect terms and predict their sentiment polarities. However, existing methods face two major challenges: (1) Most existing studies focus on the sentiment ...
Hongyu Han +6 more
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Enhanced UrduAspectNet: Leveraging Biaffine Attention for superior Aspect-Based Sentiment Analysis
Journal of King Saud University: Computer and Information SciencesUrdu, with its rich linguistic complexity, poses significant challenges for computational sentiment analysis. This study presents an enhanced version of UrduAspectNet, specifically designed for Aspect-Based Sentiment Analysis (ABSA) in Urdu. We introduce
Kamran Aziz +6 more
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ADeCNN: An Improved Model for Aspect-Level Sentiment Analysis Based on Deformable CNN and Attention
IEEE Access, 2020 Aspect-level sentiment analysis aims at identifying the sentiment polarity of target in the context. In most of the previous sentiment analysis models, there usually exists the problem of insufficient extraction capability of local features and long ...
Jie Zhou, Siqi Jin, Xinli Huang
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Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction
Conference on Empirical Methods in Natural Language Processing, 2017 We propose a novel LSTM-based deep multi-task learning framework for aspect term extraction from user review sentences. Two LSTMs equipped with extended memories and neural memory operations are designed for jointly handling the extraction tasks of ...
Xin Li, Wai Lam
semanticscholar +1 more source
Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text
IEEE AccessAspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts.
Mikail Muhammad Azman Busst +4 more
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Aspect-Based Opinion Mining on Student’s Feedback for Faculty Teaching Performance Evaluation
IEEE Access, 2019 Students' feedback is crucial for academic institutions in order to evaluate faculty performance. Handling the qualitative opinions of students efficiently while automatic report generation is a challenging task.
Irum Sindhu +5 more
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IEEE AccessEducational institutions typically gather feedback from beneficiaries through formal surveys. Offering open-ended questions allows students to express their opinions about matters that may not have been measured directly in closed-ended questions ...
Khloud A. Alshaikh +2 more
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MTL-AraBERT: An Enhanced Multi-Task Learning Model for Arabic Aspect-Based Sentiment Analysis
ComputersAspect-based sentiment analysis (ABSA) is a fine-grained type of sentiment analysis; it works on an aspect level. It mainly focuses on extracting aspect terms from text or reviews, categorizing the aspect terms, and classifying the sentiment polarities ...
Arwa Fadel +3 more
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