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IEEE AccessTarget Aspect Sentiment Detection (TASD) is challenging because it involves various Natural Language Processing (NLP) subtasks including opinion target detection and sentiment polarity classification.
Mohammad Radi, Nazlia Omar, Wandeep Kaur
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A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis [PDF]
IEEE Access, 2020 Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in natural language processing (NLP). Individuals, private and government institutions are increasingly using media sources for decision making.
Jaafar Zubairu Maitama +4 more
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Dependency Structure-Based Rules Using Root Node Technique for Explicit Aspect Extraction From Online Reviews [PDF]
IEEE Access, 2023 Aspect-based sentiment analysis (ABSA) includes aspect extraction and sentiment analysis on those extracted aspects. This paper is mainly focused on the explicit aspect extraction from product based online customer reviews.
Pallavi Mishra, Sandeep Kumar Panda
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A Survey on Implicit Aspect Detection for Sentiment Analysis: Terminology, Issues, and Scope
IEEE Access, 2022 Sentiment analysis or opinion mining has come forth as an attractive research field in the past few years. Sentiment analysis extracts sentiments from the text for analysis and aggregation at different levels of detail. In aspect-level sentiment analysis,
Piyush Kumar Soni, Radhakrishna Rambola
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The duty to protect the right to life [PDF]
NBP: Nauka, bezbednost, policija, 2021 The author analyses one aspect of the right to life - the duty to protect the right to life. That aspect is not encompassed in definitions of the right to life in clear and explicit words.
Šurlan Tijana
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An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets [PDF]
PeerJ Computer Science, 2023 Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unavailable.
Sumaia AL-Ghuribi +2 more
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IEEE Access, 2022 Recently, much research has focused on explicit aspect extraction. User reviews in the textual form are unstructured data, creating a very high complexity when processed for sentiment analysis. Previous propagation approaches proposed in this area mainly
Warih Maharani +2 more
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Weakly Supervised Learning Approach for Implicit Aspect Extraction
Information, 2023 Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar +2 more
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Long-term effects of explicit versus implicit instruction on EFL writing
Dutch Journal of Applied Linguistics, 2021 This study investigated the long-term effectiveness of explicit versus implicit instruction in a classroom setting. The participants were 114 Dutch secondary school students learning English as an L2; a control group received explicit and an ...
Huimin Ke +3 more
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Neural Collaborative Filtering for Chinese Movies Based on Aspect-Aware Implicit Interactions
IEEE Access, 2022 Aspect information mining from user comments has become an important means to improve the performance of recommendation systems (RSs). This is because aspect information in comments is fine-grained and tends to reflect the interactions and preferences of
Hui Deng, Chao Zhai, Lina Zheng
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