Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion [PDF]
Sci RepXu 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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Implicit Information in the Aspect of Linguistic Expert Examination of a Trademark
Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. JazykoznanijeThe work is devoted to the phenomenon of a verbal trademark as a text. It carries some kind of concise message in an explicit or implicit form. The authors turn to the experience of conducting linguistic research into trademarks peculiarities, to linguistic expert examination. It postulates that in the process of such study, the language expert aims to
Marina Novichihina +1 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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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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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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The experience of nurses to reduce implicit rationing of nursing care: a phenomenological study
BMC Nursing, 2023 Background Implicit rationing of nursing care can adversely affect patient safety and the quality of care, and increase nurses’ burnout and turnover tendency.
Hui Qin Li +3 more
doaj +1 more source
Body dissatisfaction revisited : on the importance of implicit beliefs about actual and ideal body image [PDF]
, 2017 Body dissatisfaction (i.e., a negative attitude towards one’s own physical appearance) is assumed to originate from a perceived discrepancy between the actual physical appearance (i.e., actual body image) and the desired ideal state of the body (i.e ...
De Houwer, Jan +2 more
core +2 more sources
Components of implicit stigma against mental illness among Chinese students. [PDF]
PLoS ONE, 2012 Although some research has examined negative automatic aspects of attitudes toward mental illness via relatively indirect measures among Western samples, it is unclear whether negative attitudes can be automatically activated in individuals from non ...
Xiaogang Wang +3 more
doaj +1 more source