{"id":"https://openalex.org/W4401718960","doi":"https://doi.org/10.1080/10494820.2024.2391050","title":"Effects of sentiment discreteness on MOOCs\u2019 disconfirmation: text analytics in online reviews","display_name":"Effects of sentiment discreteness on MOOCs\u2019 disconfirmation: text analytics in online reviews","publication_year":2024,"publication_date":"2024-08-20","ids":{"openalex":"https://openalex.org/W4401718960","doi":"https://doi.org/10.1080/10494820.2024.2391050"},"language":"en","primary_location":{"id":"doi:10.1080/10494820.2024.2391050","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10494820.2024.2391050","pdf_url":null,"source":{"id":"https://openalex.org/S90466346","display_name":"Interactive Learning Environments","issn_l":"1049-4820","issn":["1049-4820","1744-5191"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interactive Learning Environments","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043931341","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-5981-7312"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I931278978","display_name":"College of Business Administration","ror":"https://ror.org/03x1zq178","country_code":"LV","type":"education","lineage":["https://openalex.org/I931278978"]}],"countries":["CN","LV"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Huaqiao University","College of Business Administration, Huaqiao University, Quanzhou, Fujian"],"raw_orcid":"https://orcid.org/0000-0001-5981-7312","affiliations":[{"raw_affiliation_string":"Huaqiao University","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"College of Business Administration, Huaqiao University, Quanzhou, Fujian","institution_ids":["https://openalex.org/I119045251","https://openalex.org/I931278978"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087269506","display_name":"Haiwang Liu","orcid":"https://orcid.org/0000-0001-5972-9857"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I931278978","display_name":"College of Business Administration","ror":"https://ror.org/03x1zq178","country_code":"LV","type":"education","lineage":["https://openalex.org/I931278978"]}],"countries":["CN","LV"],"is_corresponding":false,"raw_author_name":"Haiwang Liu","raw_affiliation_strings":["Huaqiao University","College of Business Administration, Huaqiao University, Quanzhou, Fujian"],"raw_orcid":"https://orcid.org/0000-0001-5972-9857","affiliations":[{"raw_affiliation_string":"Huaqiao University","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"College of Business Administration, Huaqiao University, Quanzhou, Fujian","institution_ids":["https://openalex.org/I119045251","https://openalex.org/I931278978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035410562","display_name":"Yenchun Jim Wu","orcid":"https://orcid.org/0000-0001-5479-2873"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]},{"id":"https://openalex.org/I49645291","display_name":"National Taipei University of Education","ror":"https://ror.org/02bzpph30","country_code":"TW","type":"education","lineage":["https://openalex.org/I49645291"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yenchun Jim Wu","raw_affiliation_strings":["Graduate Institute of Global Business and Strategy, National Taiwan Normal University Taipei, Taiwan","MBA Program in Southeast Asia, National Taipei University of Education, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-5479-2873","affiliations":[{"raw_affiliation_string":"Graduate Institute of Global Business and Strategy, National Taiwan Normal University Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]},{"raw_affiliation_string":"MBA Program in Southeast Asia, National Taipei University of Education, Taipei, Taiwan","institution_ids":["https://openalex.org/I49645291"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035410562"],"corresponding_institution_ids":["https://openalex.org/I134161618","https://openalex.org/I49645291"],"apc_list":null,"apc_paid":null,"fwci":0.9171,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78618313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"33","issue":"3","first_page":"2099","last_page":"2116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.948199987411499,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5896743535995483},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.550739049911499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5384701490402222},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5358918905258179},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49867916107177734},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.44369953870773315},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4128868281841278},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4098992943763733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3085710406303406},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.27721554040908813}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5896743535995483},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.550739049911499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5384701490402222},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5358918905258179},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49867916107177734},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.44369953870773315},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4128868281841278},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4098992943763733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3085710406303406},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.27721554040908813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10494820.2024.2391050","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10494820.2024.2391050","pdf_url":null,"source":{"id":"https://openalex.org/S90466346","display_name":"Interactive Learning Environments","issn_l":"1049-4820","issn":["1049-4820","1744-5191"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interactive Learning Environments","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1428819821","display_name":null,"funder_award_id":"72072062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8948766204","display_name":null,"funder_award_id":"2020J01782","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1978391412","https://openalex.org/W2012344512","https://openalex.org/W2061131717","https://openalex.org/W2070947650","https://openalex.org/W2102770351","https://openalex.org/W2555117749","https://openalex.org/W2891641345","https://openalex.org/W2913233374","https://openalex.org/W2977285514","https://openalex.org/W2997735069","https://openalex.org/W3022067007","https://openalex.org/W3034948298","https://openalex.org/W3048632235","https://openalex.org/W3090601179","https://openalex.org/W3097449133","https://openalex.org/W3117301310","https://openalex.org/W3154113661","https://openalex.org/W3163655275","https://openalex.org/W3203606026","https://openalex.org/W3207508825","https://openalex.org/W3216173295","https://openalex.org/W4200238313","https://openalex.org/W4206237842","https://openalex.org/W4206993232","https://openalex.org/W4210820433","https://openalex.org/W4220925172","https://openalex.org/W4280557027","https://openalex.org/W4284674733","https://openalex.org/W4289874643","https://openalex.org/W4293149832","https://openalex.org/W4306160228","https://openalex.org/W4367394384","https://openalex.org/W4387369369"],"related_works":["https://openalex.org/W1987827786","https://openalex.org/W2799586942","https://openalex.org/W2504091800","https://openalex.org/W2331775400","https://openalex.org/W2816728186","https://openalex.org/W2804624249","https://openalex.org/W2560130217","https://openalex.org/W605203981","https://openalex.org/W2911048623","https://openalex.org/W4292348877"],"abstract_inverted_index":{"In":[0,144],"Massive":[1],"Open":[2],"Online":[3],"Courses":[4],"(MOOCs),":[5],"online":[6,22,65],"reviews":[7,66,110,156,174],"serve":[8],"as":[9,69],"a":[10,34,70,90,118],"basis":[11],"for":[12,94,99,134,139],"teachers":[13],"to":[14,33,49,72],"improve":[15],"their":[16],"courses.":[17],"The":[18,83],"disconfirmation":[19,81,92,120,130,150,160,170,178],"effect":[20,75,93,131,151,161,171,179],"of":[21,30,41,59,76,124,152,162,172,180],"reviews,":[23,96],"i.e.":[24],"the":[25,28,38,56,74,80,129,149,159,169,177],"inconsistency":[26],"between":[27],"level":[29],"attention":[31],"paid":[32],"course":[35,125],"factor":[36],"and":[37,63,114,141,154,157,175,182],"actual":[39],"weight":[40],"that":[42,87,109,128,138],"factor\u2019s":[43],"influence":[44],"on":[45,55,79,105],"learner":[46,77],"satisfaction,":[47],"leads":[48],"erroneous":[50],"judgments":[51],"by":[52],"teachers.":[53],"Based":[54],"two-factor":[57],"theory":[58],"emotion,":[60],"4,070":[61],"courses":[62,136],"165,705":[64],"are":[67],"adopted":[68],"corpus":[71],"identify":[73],"sentiment":[78,107],"effect.":[82,121],"empirical":[84],"results":[85],"show":[86],"there":[88],"is":[89,132],"significant":[91],"negative":[95,106,146],"but":[97],"not":[98],"positive":[100,163,181],"ones.":[101,143],"A":[102,122],"fine-grained":[103],"analysis":[104],"finds":[108],"containing":[111],"more":[112],"sadness":[113,153,173],"anger":[115,155,183],"sentiments":[116],"have":[117],"stronger":[119,133],"comparison":[123],"types":[126],"reveals":[127],"instrument-based":[135],"than":[137],"knowledge-based":[140],"practice-based":[142],"addition,":[145],"word-of-mouth":[147],"weakens":[148,168],"enhances":[158,176],"reviews.":[164,184],"Further,":[165],"learner\u2019s":[166],"reputation":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
