Results 1 to 10 of about 750,319 (185)
TEGAA: transformer-enhanced graph aspect analyzer with semantic contrastive learning for implicit aspect detection [PDF]
Frontiers in Artificial IntelligenceImplicit aspect detection aims to identify aspect categories that are not explicitly mentioned in text, but existing models struggle with four persistent challenges: aspect ambiguity, where multiple latent aspects are implied by the same expression, data
Piyush Kumar Soni, Radhakrishna Rambola
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Modeling and Reasoning over Distributed Systems using Aspect-Oriented Graph Grammars [PDF]
Electronic Proceedings in Theoretical Computer Science, 2010 Aspect-orientation is a relatively new paradigm that introduces abstractions to modularize the implementation of system-wide policies. It is based on a composition operation, called aspect weaving, that implicitly modifies a base system by performing ...
Rodrigo Machado +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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Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion [PDF]
Scientific ReportsImplicit Aspect-Level Sentiment Analysis aims to identify aspect items and opinion items that do not appear in unstructured text. These items can be analyzed based on the semantics of the text.
Xu Li +3 more
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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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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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Deep Learning Using Context Vectors to Identify Implicit Aspects
IEEE Access, 2023 Aspects extraction is the key task in the sentiment analysis problem, which includes extraction of both explicit and implicit aspects. Identifying implicit aspects is not a new task in sentiment analysis, but it still presents many challenges.
Thuy Le Thi +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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Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Product reviews contain a large number of implicit aspects and implicit opinions. However, most of the existing studies in aspect-based sentiment analysis ignored this problem. In this work, we introduce a new task, named Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction, with the goal to extract all aspect-category-opinion-sentiment ...
Hongjie Cai, Rui Xia, Jianfei Yu
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Implicit and Explicit Aspect Extraction in Financial Microblogs [PDF]
Proceedings of the First Workshop on Economics and Natural Language Processing, 2018 This paper focuses on aspect extraction which is a sub-task of Aspect-based Sen- timent Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach uses a stock-investment taxonomy for the iden- tification of explicit and implicit aspects.
Gaillat, Thomas +5 more
openaire +3 more sources