{"id":"https://openalex.org/W4367844682","doi":"https://doi.org/10.1080/10494820.2023.2198576","title":"Fine-grained aspect-based opinion mining on online course reviews for feedback analysis","display_name":"Fine-grained aspect-based opinion mining on online course reviews for feedback analysis","publication_year":2023,"publication_date":"2023-05-03","ids":{"openalex":"https://openalex.org/W4367844682","doi":"https://doi.org/10.1080/10494820.2023.2198576"},"language":"en","primary_location":{"id":"doi:10.1080/10494820.2023.2198576","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10494820.2023.2198576","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"],"host_organization_lineage_names":["Taylor & Francis"],"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/A5100621761","display_name":"Chen Jing","orcid":"https://orcid.org/0000-0002-0172-0873"},"institutions":[{"id":"https://openalex.org/I4210100281","display_name":"Jangan University","ror":"https://ror.org/00jz5ch17","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210100281"]},{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["Chang'an University","College of Transportation Engineering, Chang'an University, Xi'an, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Chang'an University","institution_ids":["https://openalex.org/I4210100281"]},{"raw_affiliation_string":"College of Transportation Engineering, Chang'an University, Xi'an, People's Republic of China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387935","display_name":"Ruiqi Wang","orcid":"https://orcid.org/0000-0001-8763-8573"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210100281","display_name":"Jangan University","ror":"https://ror.org/00jz5ch17","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210100281"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Ruiqi Wang","raw_affiliation_strings":["Chang'an University","College of Transportation Engineering, Chang'an University, Xi'an, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Chang'an University","institution_ids":["https://openalex.org/I4210100281"]},{"raw_affiliation_string":"College of Transportation Engineering, Chang'an University, Xi'an, People's Republic of China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038891359","display_name":"Bei Fang","orcid":"https://orcid.org/0000-0002-3461-7995"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Fang","raw_affiliation_strings":["Shaanxi Normal University","Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi'an, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Normal University","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi'an, People's Republic of China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020806029","display_name":"Chen Zuo","orcid":"https://orcid.org/0000-0002-0115-1674"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210100281","display_name":"Jangan University","ror":"https://ror.org/00jz5ch17","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210100281"]}],"countries":["CN","KR"],"is_corresponding":true,"raw_author_name":"Chen Zuo","raw_affiliation_strings":["Chang'an University","College of Transportation Engineering, Chang'an University, Xi'an, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Chang'an University","institution_ids":["https://openalex.org/I4210100281"]},{"raw_affiliation_string":"College of Transportation Engineering, Chang'an University, Xi'an, People's Republic of China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020806029"],"corresponding_institution_ids":["https://openalex.org/I25355098","https://openalex.org/I4210100281"],"apc_list":null,"apc_paid":null,"fwci":1.0474,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80485574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"8","first_page":"4380","last_page":"4395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9922000169754028,"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/T10028","display_name":"Topic Modeling","score":0.9821000099182129,"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":0.8313177824020386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7866957783699036},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5663419961929321},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5399972796440125},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5130144953727722},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.48437318205833435},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.4805717468261719},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3875226080417633},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38461530208587646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38376331329345703},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.36498308181762695},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3314328193664551},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.18568211793899536}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8313177824020386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866957783699036},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5663419961929321},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5399972796440125},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5130144953727722},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.48437318205833435},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.4805717468261719},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3875226080417633},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38461530208587646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38376331329345703},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.36498308181762695},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3314328193664551},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.18568211793899536},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10494820.2023.2198576","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10494820.2023.2198576","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"],"host_organization_lineage_names":["Taylor & Francis"],"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":"Quality Education","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1170029658","display_name":null,"funder_award_id":"62107006 and 62107027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2480797903","display_name":null,"funder_award_id":"2021M692006","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1581485226","https://openalex.org/W1977593555","https://openalex.org/W2003348617","https://openalex.org/W2037125742","https://openalex.org/W2039518965","https://openalex.org/W2051963836","https://openalex.org/W2086785795","https://openalex.org/W2112422413","https://openalex.org/W2122646221","https://openalex.org/W2123442489","https://openalex.org/W2164358929","https://openalex.org/W2199439048","https://openalex.org/W2234079371","https://openalex.org/W2335805127","https://openalex.org/W2533135977","https://openalex.org/W2577440271","https://openalex.org/W2612769033","https://openalex.org/W2741257866","https://openalex.org/W2741793919","https://openalex.org/W2767604415","https://openalex.org/W2779594574","https://openalex.org/W2804000041","https://openalex.org/W2890104067","https://openalex.org/W2891300059","https://openalex.org/W2922280987","https://openalex.org/W2943233196","https://openalex.org/W2983369867","https://openalex.org/W2993843842","https://openalex.org/W2995825444","https://openalex.org/W3098363382","https://openalex.org/W3101155479","https://openalex.org/W3163841364","https://openalex.org/W3164693096","https://openalex.org/W3200230513","https://openalex.org/W4210820433","https://openalex.org/W4210999079"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"Online":[0],"learning":[1,22,56],"has":[2],"developed":[3],"rapidly":[4],"and":[5,21,44,84,98,112,127,162,177],"billions":[6],"of":[7,34,110,140,154,171],"learners":[8,28],"have":[9,29],"participated":[10],"in":[11,47],"various":[12],"courses.":[13],"However,":[14],"the":[15,75,85,104,124,137,141,147,151,160,169,172],"high":[16],"dropout":[17],"rate":[18],"is":[19,24,60,79,134,157],"universal":[20],"performance":[23],"not":[25],"satisfactory.":[26],"Fortunately,":[27],"posted":[30],"a":[31,96,108],"large":[32],"number":[33],"reviews":[35,48,70],"which":[36],"express":[37],"their":[38],"feedback":[39,72,184],"opinions.":[40,128],"The":[41,129,174],"fine-grained":[42,64,125,183],"aspects":[43,126,143,176],"opinions":[45,139,178],"existing":[46],"provide":[49,182],"valuable":[50],"information":[51,165,185],"for":[52,71],"educators":[53],"to":[54,62,81,95,122,167],"improve":[55],"performance.":[57],"Thus,":[58],"it":[59],"necessary":[61],"make":[63],"aspect-based":[65,130],"opinion":[66,131,156],"mining":[67],"on":[68,118],"course":[69,90],"analysis.":[73],"First,":[74],"latent":[76],"Dirichlet":[77],"allocation":[78],"applied":[80],"generate":[82],"topics":[83],"topic":[86,97,188],"related":[87],"words":[88,100],"from":[89,146,186],"reviews.":[91],"Each":[92],"word":[93],"belongs":[94],"these":[99],"are":[101,115,144],"considered":[102],"as":[103],"core":[105,142],"aspects.":[106],"Second,":[107],"series":[109],"rules":[111],"an":[113],"algorithm":[114],"designed":[116],"based":[117],"dependency":[119],"syntax":[120],"analysis":[121],"extract":[123],"candidate":[132,148],"set":[133],"generated.":[135],"Then":[136],"corresponding":[138],"selected":[145],"set.":[149],"Third,":[150],"sentiment":[152,180],"score":[153],"each":[155],"calculated":[158],"combining":[159],"dictionary-based":[161],"pointwise":[163],"mutual":[164],"method":[166],"identify":[168],"polarity":[170,181],"opinion.":[173],"extracted":[175],"with":[179],"several":[187],"perspectives.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}