Results 151 to 160 of about 750,336 (202)

Opinion Reason Mining: Implicit Aspects beyond Implying aspects

2018 21st Saudi Computer Society National Computer Conference (NCC), 2018
Aspect-based Sentiment Analysis (ABSA) aggregates the user opinions at the aspects level. Therefore, it offers a detailed analysis of the product by highlighting its strong and weak aspects. Potential customers and manufacturers highly regard such analysis to make profitable future decisions.
Shehzad Khalid, Muhammad Haseeb Aslam, Muhammad Taimoor Khan   +2 more
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“Implicit” potentials associated with Jacobi polynomials: some novel aspects

Physics Letters A, 1995
Abstract The Schrodinger equation is solved for a potential V ( g ( r )) with an implicitly defined g ( r ) function. Generally, it resembles certain Poschl-Teller potentials, up to isospectrality in a particular case. Together with a closely related implicit potential, it also offers a good example demonstrating certain unusual characteristics of ...
Williams, Brian Wesley, Rutherford, Jennifer L., Lévai, Géza   +2 more
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Implicit aspects of much systems thinking

Systems Research, 1988
AbstractMuch systems thinking involves implicit aspects upon which the validity, credibility, and even themeaningof the products of the thought depend. The consequences of following misguided, implicit presuppositions vary in intensity according to the milieu in which such presuppositions govern.
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Semantics-Driven Implicit Aspect Detection in Consumer Reviews

Proceedings of the 24th International Conference on World Wide Web, 2015
With consumer reviews becoming a mainstream part of e-commerce, a good method of detecting the product or service aspects that are discussed is desirable. This work focuses on detecting aspects that are not literally mentioned in the text, or implicit aspects.
Schouten, Kim, de Boer, N, Lam, T (Tjian), Van Leeuwen, M, van Luijk, R, Frasincar, Flavius   +5 more
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Non-negative matrix factorization for implicit aspect identification

Journal of Ambient Intelligence and Humanized Computing, 2019
Sentiment analysis, also named opinion mining, is an important task in e-commerce. Recent years, many researchers have been focused on fine-grained sentiment analysis. Aspect level opinion mining detects the detailed sentiments about features of products.
Qiannan Xu, Li Zhu, Tao Dai, Lei Guo, Sisi Cao   +4 more
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Implicit aspects of human learning and memory

Proceedings 5th IEEE International Workshop on Robot and Human Communication. RO-MAN'96 TSUKUBA, 2002
For a multi-modal human-computer interface to better serve its user, it is first necessary to get a better understanding of the implicit aspects of human learning and memory. To clarify this claim, this paper first overviews relevant progress in cognitive psychology and presents our recent studies on the implicit learning of complex visual regularity ...
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["Implicit time". Practical and theoretical aspects].

Archives d'ophtalmologie et revue generale d'ophtalmologie, 1976
52 normal subjects were studied as control for our "Ganzfeld" method of E.R.G. Separately 132 patients with different retinopathies; inflammatory and degenerative (or dystrophic) were studied and results compared and discussed. It seems that the amplitude is involved - diminished - in some retinopathies, but implicit time only when widespead alteration
B, Stanescu, J, Michiels
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Explicit and implicit aspects of embodied knowledge

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15, 2015
Wisdom computing and harmonious collaborations between humans and machines require understanding of both explicit and implicit aspects of embodied or tacit knowledge. We propose that scientific and technological advances on "Implicit Ambient Surface Information" are vital for further development of wisdom computing.
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Implicit Aspect Extraction Techniques in Sentiment Analysis: A Survey

Malaysian Journal of Information and Communication Technology (MyJICT), 2022
Sentiment analysis is a Natural Language Processing (NLP) research field that uses texture data and machine learning approaches in analyzing sentiments, behaviors, and emotions. People use social media to express feelings in various forms of sentiment. Feelings of fear, worry, sadness, anger, and gratitude were expressed in an online social network. It
Shakirah Mohd Sofi, null Ali Selamat
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