{"id":"https://openalex.org/W4403446893","doi":"https://doi.org/10.1109/access.2024.3482232","title":"Research on MOOC Reviews Oriented Sentiment Analysis by Awareness of Emotional Distinctions","display_name":"Research on MOOC Reviews Oriented Sentiment Analysis by Awareness of Emotional Distinctions","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403446893","doi":"https://doi.org/10.1109/access.2024.3482232"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3482232","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3482232","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3482232","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109865670","display_name":"Lili Lili","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li Li","raw_affiliation_strings":["College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, Hainan, China","Hainan Vocational University of Science and Technology, Hainan, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, Hainan, China","institution_ids":[]},{"raw_affiliation_string":"Hainan Vocational University of Science and Technology, Hainan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110025688","display_name":"Yi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I319874951","display_name":"Sichuan International Studies University","ror":"https://ror.org/036pm0w06","country_code":"CN","type":"education","lineage":["https://openalex.org/I319874951"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Huang","raw_affiliation_strings":["College of Language Intelligence, Sichuan International Studies University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Language Intelligence, Sichuan International Studies University, Chongqing, China","institution_ids":["https://openalex.org/I319874951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006659912","display_name":"Chengjuan Ren","orcid":"https://orcid.org/0000-0002-9958-0476"},"institutions":[{"id":"https://openalex.org/I319874951","display_name":"Sichuan International Studies University","ror":"https://ror.org/036pm0w06","country_code":"CN","type":"education","lineage":["https://openalex.org/I319874951"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjuan Ren","raw_affiliation_strings":["College of Language Intelligence, Sichuan International Studies University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Language Intelligence, Sichuan International Studies University, Chongqing, China","institution_ids":["https://openalex.org/I319874951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109865670"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.4252,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91394898,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"154823","last_page":"154831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13565","display_name":"Education and Learning Interventions","score":0.8032000064849854,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13565","display_name":"Education and Learning Interventions","score":0.8032000064849854,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.7573000192642212,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.7382000088691711,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8559181690216064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6036617159843445},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3345554769039154},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3258872926235199}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8559181690216064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036617159843445},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3345554769039154},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3258872926235199}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3482232","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3482232","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:90dfe59930b74b6e9396d795b31bec09","is_oa":true,"landing_page_url":"https://doaj.org/article/90dfe59930b74b6e9396d795b31bec09","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 154823-154831 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3482232","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3482232","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2131774270","https://openalex.org/W2156413587","https://openalex.org/W2230508580","https://openalex.org/W2251124635","https://openalex.org/W2727488328","https://openalex.org/W2790309729","https://openalex.org/W2941799245","https://openalex.org/W2994199588","https://openalex.org/W2995825444","https://openalex.org/W3022935508","https://openalex.org/W3086339221","https://openalex.org/W3086619362","https://openalex.org/W3088886232","https://openalex.org/W3090154305","https://openalex.org/W3093722805","https://openalex.org/W3098042509","https://openalex.org/W3112377151","https://openalex.org/W3135946144","https://openalex.org/W3190653706","https://openalex.org/W4200473511","https://openalex.org/W4210447920","https://openalex.org/W4210827551","https://openalex.org/W4280592718","https://openalex.org/W4286252885","https://openalex.org/W4287833482","https://openalex.org/W4364378241","https://openalex.org/W4383825192","https://openalex.org/W4388335799","https://openalex.org/W4391836992","https://openalex.org/W4400645860","https://openalex.org/W6679879607"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680"],"abstract_inverted_index":{"It":[0],"is":[1,29],"essential":[2],"for":[3,102],"MOOCs":[4],"to":[5,13,20,31,63,97,139,192,209,220],"understand":[6],"the":[7,23,37,99,121,142,145,155,167,172,202,211],"learner\u2019s":[8],"emotions.":[9],"This":[10],"study":[11,185],"aims":[12],"develop":[14],"a":[15,47,89,198],"novel":[16],"sentiment":[17,84,125,150,176],"analysis":[18,126],"model":[19,51,156],"automatically":[21],"classify":[22],"emotions":[24],"of":[25,39,66,124,144,171,179,201,205,213],"MOOC":[26,180,215],"learners,":[27,206],"which":[28,56,164],"beneficial":[30],"educators":[32,194],"and":[33,41,49,61,75,116,132,169,189,195,217,219,224,228],"instructors":[34,196],"in":[35,44,83,108,160,175],"improving":[36],"quality":[38],"courses":[40],"platform":[42],"design":[43],"MOOCs.":[45],"Firstly,":[46],"robust":[48],"interpretable":[50],"was":[52],"proposed,":[53],"named":[54],"BB-OAM,":[55],"incorporated":[57],"BERT,":[58],"attention":[59,95,147],"method,":[60],"BiLSTM":[62],"extract":[64],"features":[65],"forum":[67],"reviews":[68],"as":[69,71,208],"accurately":[70],"possible.":[72],"To":[73],"capture":[74],"differentiate":[76],"among":[77],"various":[78],"affective":[79],"tendencies":[80],"more":[81],"effectively":[82],"analysis,":[85,154],"we":[86],"have":[87],"taken":[88],"breakthrough":[90],"by":[91,127],"introducing":[92],"an":[93],"orthogonal":[94,146],"mechanism":[96,148],"enhance":[98],"model\u2019s":[100],"performance":[101],"emotion-ambiguous":[103],"sentences.":[104],"Compared":[105],"with":[106],"models":[107],"previous":[109],"studies":[110],"including":[111],"SVM,":[112],"Tree-CRF,":[113],"BiRNN,":[114],"LSTM,":[115],"BiLSTM,":[117],"our":[118],"method":[119,174],"improved":[120],"accuracy":[122],"value":[123],"24%,":[128,129],"19%,":[130],"17%,":[131],"9%":[133],"respectively.":[134],"Ablation":[135],"experiments":[136],"were":[137],"conducted":[138],"systematically":[140],"evaluate":[141],"impact":[143],"on":[149],"analysis.":[151],"Through":[152],"visualization":[153],"showed":[157],"higher":[158],"sensitivity":[159],"capturing":[161],"sentiment-related":[162],"contents,":[163],"further":[165],"validated":[166],"reliability":[168],"effectiveness":[170],"proposed":[173],"classification":[177],"tasks":[178],"reviews.":[181],"In":[182],"essence,":[183],"this":[184],"has":[186],"great":[187],"methodological":[188],"theoretical":[190],"insights":[191],"help":[193],"gain":[197],"deeper":[199],"understanding":[200],"actual":[203],"needs":[204],"so":[207],"optimize":[210],"efficiency":[212],"utilizing":[214],"platforms":[216],"courses,":[218],"promote":[221],"effective":[222],"interactions":[223],"collaboration":[225],"between":[226],"learners":[227],"educators.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2024-10-17T00:00:00"}
