No Cover Image

Journal article 345 views 170 downloads

Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers

Arghya Ray Orcid Logo, Pradip Kumar Bala Orcid Logo, Nripendra P. Rana, Yogesh Dwivedi Orcid Logo

Aslib Journal of Information Management, Volume: 74, Issue: 6

Swansea University Author: Yogesh Dwivedi Orcid Logo

  • Rayetal-AJIM-10042022.pdf

    PDF | Accepted Manuscript

    Released under the terms of a Creative Commons Attribution Non-Commercial License (CC-BY-NC)

    Download (506.58KB)

Check full text

DOI (Published version): 10.1108/ajim-12-2021-0357

Published in: Aslib Journal of Information Management
ISSN: 2050-3806
Published: Emerald
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa59788
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2022-04-11T09:48:37Z
last_indexed 2023-01-11T14:41:17Z
id cronfa59788
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2023-01-04T12:09:47.5756352</datestamp><bib-version>v2</bib-version><id>59788</id><entry>2022-04-11</entry><title>Predicting ratings of social media feeds: combining latent-factors and&#xA0;emotional aspects for improving performance of different classifiers</title><swanseaauthors><author><sid>d154596e71b99ad1285563c8fdd373d7</sid><ORCID>0000-0002-5547-9990</ORCID><firstname>Yogesh</firstname><surname>Dwivedi</surname><name>Yogesh Dwivedi</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-04-11</date><deptcode>BBU</deptcode><abstract/><type>Journal Article</type><journal>Aslib Journal of Information Management</journal><volume>74</volume><journalNumber>6</journalNumber><paginationStart/><paginationEnd/><publisher>Emerald</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2050-3806</issnPrint><issnElectronic/><keywords>Emotional aspects, K-nearest neighbors, Max-entropy, Naive bayes, Rating prediction, Social media feed</keywords><publishedDay>0</publishedDay><publishedMonth>0</publishedMonth><publishedYear>0</publishedYear><publishedDate>0001-01-01</publishedDate><doi>10.1108/ajim-12-2021-0357</doi><url/><notes/><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>The infrastructural support provided by IMI Kolkata, IIM Ranchi, Swansea University, Symbiosis International (Deemed University) and Qatar University in completing this paper is gratefully acknowledged.</funders><projectreference/><lastEdited>2023-01-04T12:09:47.5756352</lastEdited><Created>2022-04-11T10:43:01.1779173</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Arghya</firstname><surname>Ray</surname><orcid>0000-0001-5836-0621</orcid><order>1</order></author><author><firstname>Pradip Kumar</firstname><surname>Bala</surname><orcid>0000-0002-9028-4902</orcid><order>2</order></author><author><firstname>Nripendra P.</firstname><surname>Rana</surname><order>3</order></author><author><firstname>Yogesh</firstname><surname>Dwivedi</surname><orcid>0000-0002-5547-9990</orcid><order>4</order></author></authors><documents><document><filename>59788__23799__3146e56e89b1433bb0005cb5cab2f30b.pdf</filename><originalFilename>Rayetal-AJIM-10042022.pdf</originalFilename><uploaded>2022-04-11T10:45:22.6199587</uploaded><type>Output</type><contentLength>518734</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><documentNotes>Released under the terms of a Creative Commons Attribution Non-Commercial License (CC-BY-NC)</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2023-01-04T12:09:47.5756352 v2 59788 2022-04-11 Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2022-04-11 BBU Journal Article Aslib Journal of Information Management 74 6 Emerald 2050-3806 Emotional aspects, K-nearest neighbors, Max-entropy, Naive bayes, Rating prediction, Social media feed 0 0 0 0001-01-01 10.1108/ajim-12-2021-0357 COLLEGE NANME Business COLLEGE CODE BBU Swansea University The infrastructural support provided by IMI Kolkata, IIM Ranchi, Swansea University, Symbiosis International (Deemed University) and Qatar University in completing this paper is gratefully acknowledged. 2023-01-04T12:09:47.5756352 2022-04-11T10:43:01.1779173 Faculty of Humanities and Social Sciences School of Management - Business Management Arghya Ray 0000-0001-5836-0621 1 Pradip Kumar Bala 0000-0002-9028-4902 2 Nripendra P. Rana 3 Yogesh Dwivedi 0000-0002-5547-9990 4 59788__23799__3146e56e89b1433bb0005cb5cab2f30b.pdf Rayetal-AJIM-10042022.pdf 2022-04-11T10:45:22.6199587 Output 518734 application/pdf Accepted Manuscript true Released under the terms of a Creative Commons Attribution Non-Commercial License (CC-BY-NC) true eng https://creativecommons.org/licenses/by-nc/4.0/
title Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
spellingShingle Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
Yogesh Dwivedi
title_short Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
title_full Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
title_fullStr Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
title_full_unstemmed Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
title_sort Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 Arghya Ray
Pradip Kumar Bala
Nripendra P. Rana
Yogesh Dwivedi
format Journal article
container_title Aslib Journal of Information Management
container_volume 74
container_issue 6
institution Swansea University
issn 2050-3806
doi_str_mv 10.1108/ajim-12-2021-0357
publisher Emerald
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
published_date 0001-01-01T04:17:21Z
_version_ 1763754158558543872
score 10.999252

Similar Items