Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis
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DOI: 10.1007/s12559-024-10331-y
Abstract: As cognitive-inspired computation approaches, deep neural networks or deep learning (DL) models have played important roles in allowing machines to reach human-like performances in various complex cognitive tasks such as cognitive computation and sentiment analysis.… read more here.
Keywords: analysis; cognitive inspired; research; syntax ... See more keywords
A cognitive inspired unsupervised language-independent text stemmer for Information retrieval
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DOI: 10.1016/j.cogsys.2018.07.003
Abstract: Abstract In Information Retrieval systems, stemming handles the words that can occur in different morphological forms, and hence matches the terms of the documents and the queries that are related in meanings. In this article,… read more here.
Keywords: language independent; cognitive inspired; information retrieval; retrieval ... See more keywords
Performance Analysis of Cognitive-Inspired Wireless Powered NOMA Systems With Joint Collaboration
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DOI: 10.1109/access.2023.3280049
Abstract: This paper investigates the performance analysis of cognitive-inspired wireless-powered non-orthogonal multiple access (NOMA) systems, where two collaborative schemes are jointly proposed to enhance the quality-of-signal at the primary cell-edge (CE) user in dead zones. In… read more here.
Keywords: performance; cognitive inspired; analysis; inspired wireless ... See more keywords