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1
Capturing Contextual Factors in Sentiment Classification: An Ensemble Approach
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Article
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Capturing Contextual Factors in Sentiment Classification: An Ensemble Approach

IEEE access, 2020, Vol.8, p.116856-116865 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3004180 ;CODEN: IAECCG

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2
Deep Learning Using Context Vectors to Identify Implicit Aspects
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Article
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Deep Learning Using Context Vectors to Identify Implicit Aspects

IEEE access, 2023-01, Vol.11, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3268243 ;CODEN: IAECCG

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3
Dynamic Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform
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Article
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Dynamic Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform

Computers, materials & continua, 2022, Vol.72 (1), p.1357-1372

2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1546-2226 ;ISSN: 1546-2218 ;EISSN: 1546-2226 ;DOI: 10.32604/cmc.2022.024096

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4
Computing Sentiment Scores of Adjective Phrases for Vietnamese
Material Type:
Conference Proceeding
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Computing Sentiment Scores of Adjective Phrases for Vietnamese

Multi-disciplinary Trends in Artificial Intelligence, p.288-296 [Peer Reviewed Journal]

Springer International Publishing AG 2016 ;ISSN: 0302-9743 ;ISBN: 3319493965 ;ISBN: 9783319493961 ;EISSN: 1611-3349 ;EISBN: 3319493973 ;EISBN: 9783319493978 ;DOI: 10.1007/978-3-319-49397-8_25

Digital Resources/Online E-Resources

5
Towards Building an Intelligent Call Routing System
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Article
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Towards Building an Intelligent Call Routing System

International journal of advanced computer science & applications, 2016, Vol.7 (1)

2016. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2016.070162

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6
Building an Intelligent Call Distributor
Material Type:
Book Chapter
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Building an Intelligent Call Distributor

Artificial Intelligence Trends in Intelligent Systems, 2017, Vol.573, p.239-248

Springer International Publishing AG 2017 ;ISSN: 2194-5357 ;ISBN: 3319572601 ;ISBN: 9783319572604 ;EISSN: 2194-5365 ;EISBN: 9783319572611 ;EISBN: 331957261X ;DOI: 10.1007/978-3-319-57261-1_24 ;OCLC: 982121227 ;LCCallNum: Q342

Digital Resources/Online E-Resources

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