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What can tripartite semantic network analysis do for media framing research?
Communication & Society (Formerly Comunicación y Sociedad), 2020 This study primarily aims to demonstrate how tripartite semantic network analysis can help us with media framing analysis. Predominant quantitative framing research has tended to focus on identifying salient frames and/or assessing their influences on ...
Yongjun Shin
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Towards Constructing an Integrated Model for the Cognitive System: Revisiting Semantic Networks
Cognitive Studies | Études cognitives, 2021 This is the corrected version of the retracted article under the same title, which was published with the following DOI: https://doi.org/10.11649/cs.2445 Towards Constructing an Integrated Model for the Cognitive System: Revisiting Semantic Networks ...
Armin Ehsani +2 more
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Grammar-Based Random Walkers in Semantic Networks
, 2008 Semantic networks qualify the meaning of an edge relating any two vertices. Determining which vertices are most "central" in a semantic network is difficult because one relationship type may be deemed subjectively more important than another.
Aleman-Meza +25 more
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Two-layer Image-text Semantic Network for Multi-modal Retrieval Based on Latent Semantic [PDF]
Jisuanji gongcheng, 2016 In order to improve the accuracy of similarity matching and ensure interpretability of retrieval results in multi-modal information retrieval,a two-layer multi-modal semantic network is proposed.Firstly,a sub-semantic network is built for the data of ...
DONG Yongliang,CHAI Xuqing
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Psychological methods, 2019 To date, the application of semantic network methodologies to study cognitive processes in psychological phenomena has been limited in scope. One barrier to broader application is the lack of resources for researchers unfamiliar with the approach ...
A. Christensen, Yoed N. Kenett
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International Journal of Communication, 2019 The present study addresses the question of how the 2016 “candlelight vigil” in South Korea developed through digitally networked activism in opposition to then president Park.
Shin Haeng Lee, Tae Yun Lim
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OrganizacijaThis article employs the Hugging Face keyphrase-extraction-kbir-inspec machine learning model to analyze 654 abstracts on the topic of energy efficiency in systems and control, computer science and robotics.
Bertoncel Tine
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
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DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
, 2017 3D scene understanding is important for robots to interact with the 3D world in a meaningful way. Most previous works on 3D scene understanding focus on recognizing geometrical or semantic properties of the scene independently. In this work, we introduce
Fox, Dieter, Xiang, Yu
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Computers & Mathematics with Applications, 1992 AbstractA semantic network is a graph of the structure of meaning. This article introduces semantic network systems and their importance in Artificial Intelligence, followed by I. the early background; II. a summary of the basic ideas and issues including link types, frame systems, case relations, link valence, abstraction, inheritance hierarchies and ...
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