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21	Material Type: Article	The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling PloS one, 2024-05, Vol.19 (5), p.e0302502-e0302502 [Peer Reviewed Journal] Copyright: © 2024 Xu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0302502 ;PMID: 38743773 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
22	Material Type: Article	Urdu language processing: a survey The Artificial intelligence review, 2017-03, Vol.47 (3), p.279-311 [Peer Reviewed Journal] Springer Science+Business Media Dordrecht 2016 ;COPYRIGHT 2017 Springer ;Artificial Intelligence Review is a copyright of Springer, 2017. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-016-9482-x Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
23	Material Type: Article	Ethical implications of conversational agents in global public health Bulletin of the World Health Organization, 2020-04, Vol.98 (4), p.285-287 [Peer Reviewed Journal] COPYRIGHT 2020 World Health Organization ;COPYRIGHT 2020 World Health Organization ;Copyright World Health Organization Apr 2020 ;(c) 2020 The authors; licensee World Health Organization. 2020 ;ISSN: 0042-9686 ;EISSN: 1564-0604 ;DOI: 10.2471/BLT.19.237636 ;PMID: 32284654 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
24	Material Type: Article	Recent automatic text summarization techniques: a survey The Artificial intelligence review, 2017, Vol.47 (1), p.1-66 [Peer Reviewed Journal] Springer Science+Business Media Dordrecht 2016 ;COPYRIGHT 2017 Springer ;Artificial Intelligence Review is a copyright of Springer, 2017. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-016-9475-9 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
25	Material Type: Article	Forecasting stock prices with long-short term memory neural network based on attention mechanism PloS one, 2020-01, Vol.15 (1), p.e0227222-e0227222 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Qiu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Qiu et al 2020 Qiu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0227222 ;PMID: 31899770 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
26	Material Type: Article	What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature Education sciences, 2023-04, Vol.13 (4), p.410 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2227-7102 ;EISSN: 2227-7102 ;DOI: 10.3390/educsci13040410 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
27	Material Type: Article	Knowledge-enhanced prototypical network with class cluster loss for few-shot relation classification PloS one, 2023-06, Vol.18 (6), p.e0286915-e0286915 [Peer Reviewed Journal] Copyright: © 2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Liu et al 2023 Liu et al ;2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0286915 ;PMID: 37289767 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
28	Material Type: Article	Frontiers: Supporting Content Marketing with Natural Language Generation Marketing science (Providence, R.I.), 2022-05, Vol.41 (3), p.441-452 [Peer Reviewed Journal] COPYRIGHT 2022 Institute for Operations Research and the Management Sciences ;Copyright Institute for Operations Research and the Management Sciences May/Jun 2022 ;ISSN: 0732-2399 ;EISSN: 1526-548X ;DOI: 10.1287/mksc.2022.1354 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
29	Material Type: Article	Natural language inference for Malayalam language using language agnostic sentence representation PeerJ. Computer science, 2021-05, Vol.7, p.e508-e508, Article e508 [Peer Reviewed Journal] 2021 Renjit and Idicula. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Renjit and Idicula. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Renjit and Idicula 2021 Renjit and Idicula ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/PEERJ-CS.508 ;PMID: 34013034 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
30	Material Type: Article	A survey on classification techniques for opinion mining and sentiment analysis The Artificial intelligence review, 2019-10, Vol.52 (3), p.1495-1545 [Peer Reviewed Journal] Springer Science+Business Media B.V., part of Springer Nature 2017 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9599-6 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
31	Material Type: Article	Drivers of the decrease of patent similarities from 1976 to 2021 PloS one, 2023-03, Vol.18 (3), p.e0283247-e0283247 [Peer Reviewed Journal] Copyright: © 2023 Filippi-Mazzola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Filippi-Mazzola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Filippi-Mazzola et al 2023 Filippi-Mazzola et al ;2023 Filippi-Mazzola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0283247 ;PMID: 36940211 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
32	Material Type: Article	Design considerations for a hierarchical semantic compositional framework for medical natural language understanding PloS one, 2023-03, Vol.18 (3), p.e0282882-e0282882 [Peer Reviewed Journal] Copyright: © 2023 Taira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Taira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Taira et al 2023 Taira et al ;2023 Taira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0282882 ;PMID: 36928721 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
33	Material Type: Article	Hate speech detection and racial bias mitigation in social media based on BERT model PloS one, 2020-08, Vol.15 (8), p.e0237861-e0237861 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Mozafari et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;2020 Mozafari et al 2020 Mozafari et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0237861 ;PMID: 32853205 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
34	Material Type: Article	Recent advances in deep learning based dialogue systems: a systematic survey The Artificial intelligence review, 2023-04, Vol.56 (4), p.3055-3155 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;COPYRIGHT 2023 Springer ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-022-10248-8 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
35	Material Type: Article	Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 2019-10, Vol.16 (1), p.1-27, Article 39 [Peer Reviewed Journal] The Author(s) 2019 ;International Journal of Educational Technology in Higher Education is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://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: 2365-9440 ;EISSN: 2365-9440 ;DOI: 10.1186/s41239-019-0171-0 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
36	Material Type: Article	"What is relevant in a text document?": An interpretable machine learning approach PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Peer Reviewed Journal] COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Arras et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Arras et al 2017 Arras et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0181142 ;PMID: 28800619 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
37	Material Type: Article	Large-scale transportation network congestion evolution prediction using deep learning theory PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Peer Reviewed Journal] COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Ma et al 2015 Ma et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0119044 ;PMID: 25780910 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
38	Material Type: Article	Artificial intelligence in clinical and genomic diagnostics Genome medicine, 2019-11, Vol.11 (1), p.70-70, Article 70 [Peer Reviewed Journal] COPYRIGHT 2019 BioMed Central Ltd. ;COPYRIGHT 2019 BioMed Central Ltd. ;The Author(s). 2019 ;ISSN: 1756-994X ;EISSN: 1756-994X ;DOI: 10.1186/s13073-019-0689-8 ;PMID: 31744524 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
39	Material Type: Article	When small words foretell academic success: the case of college admissions essays PloS one, 2014-12, Vol.9 (12), p.e115844-e115844 [Peer Reviewed Journal] COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Pennebaker et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Pennebaker et al 2014 Pennebaker et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0115844 ;PMID: 25551217 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
40	Material Type: Article	Collectively encoding protein properties enriches protein language models BMC bioinformatics, 2022-11, Vol.23 (1), p.1-467, Article 467 [Peer Reviewed Journal] COPYRIGHT 2022 BioMed Central Ltd. ;2022. This work is licensed under http://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. ;The Author(s) 2022 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-022-05031-z ;PMID: 36348281 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 21 - 40 of 19,845 for All Library Resources

Springer Science+Business Media Dordrecht 2016 ;COPYRIGHT 2017 Springer ;Artificial Intelligence Review is a copyright of Springer, 2017. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-016-9482-x

COPYRIGHT 2020 World Health Organization ;COPYRIGHT 2020 World Health Organization ;Copyright World Health Organization Apr 2020 ;(c) 2020 The authors; licensee World Health Organization. 2020 ;ISSN: 0042-9686 ;EISSN: 1564-0604 ;DOI: 10.2471/BLT.19.237636 ;PMID: 32284654

Springer Science+Business Media Dordrecht 2016 ;COPYRIGHT 2017 Springer ;Artificial Intelligence Review is a copyright of Springer, 2017. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-016-9475-9

COPYRIGHT 2022 Institute for Operations Research and the Management Sciences ;Copyright Institute for Operations Research and the Management Sciences May/Jun 2022 ;ISSN: 0732-2399 ;EISSN: 1526-548X ;DOI: 10.1287/mksc.2022.1354

Springer Science+Business Media B.V., part of Springer Nature 2017 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9599-6

COPYRIGHT 2019 BioMed Central Ltd. ;COPYRIGHT 2019 BioMed Central Ltd. ;The Author(s). 2019 ;ISSN: 1756-994X ;EISSN: 1756-994X ;DOI: 10.1186/s13073-019-0689-8 ;PMID: 31744524

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