{"id":"https://openalex.org/W3035269559","doi":"https://doi.org/10.1109/access.2020.3000739","title":"Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students\u2019 Reviews of MOOCs","display_name":"Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students\u2019 Reviews of MOOCs","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3035269559","doi":"https://doi.org/10.1109/access.2020.3000739","mag":"3035269559"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3000739","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3000739","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09110884.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09110884.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052954560","display_name":"Zenun Kastrati","orcid":"https://orcid.org/0000-0002-0199-2377"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Zenun Kastrati","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linnaeus University, V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linnaeus University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044015235","display_name":"Ali Shariq Imran","orcid":"https://orcid.org/0000-0002-2416-2878"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Ali Shariq Imran","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022616464","display_name":"Arianit Kurti","orcid":"https://orcid.org/0000-0003-0512-6350"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Arianit Kurti","raw_affiliation_strings":["Department of Computer Science and Media Technology, Linnaeus University, V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Media Technology, Linnaeus University, V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052954560"],"corresponding_institution_ids":["https://openalex.org/I223464139"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1336,"currency":"EUR","value_usd":1440},"fwci":16.045,"has_fulltext":true,"cited_by_count":168,"citation_normalized_percentile":{"value":0.99275695,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"106799","last_page":"106810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9986000061035156,"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":0.9986000061035156,"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":0.996399998664856,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.8175836801528931},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8080689907073975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8069941997528076},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6447243690490723},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6286044716835022},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5827240943908691},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5443893671035767},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5325371623039246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48943892121315},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4152827560901642},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3901660740375519},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37460076808929443},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3623804450035095}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8175836801528931},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8080689907073975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069941997528076},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6447243690490723},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6286044716835022},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5827240943908691},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5443893671035767},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5325371623039246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48943892121315},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4152827560901642},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3901660740375519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37460076808929443},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3623804450035095},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2020.3000739","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3000739","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09110884.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:lnu-96378","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96378","pdf_url":null,"source":{"id":"https://openalex.org/S4306401598","display_name":"DiVA (Linnaeus University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223464139","host_organization_name":"Linnaeus University","host_organization_lineage":["https://openalex.org/I223464139"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in journal"},{"id":"pmh:oai:doaj.org/article:be1545110af242d0bc51ef7f6c0ec54e","is_oa":true,"landing_page_url":"https://doaj.org/article/be1545110af242d0bc51ef7f6c0ec54e","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 106799-106810 (2020)","raw_type":"article"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2685403","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2685403","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"106799-106810","raw_type":"info:eu-repo/semantics/other"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2685502","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2685502","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"106799-106810","raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3000739","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3000739","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09110884.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6299999952316284,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035269559.pdf","grobid_xml":"https://content.openalex.org/works/W3035269559.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1576137369","https://openalex.org/W1990334093","https://openalex.org/W2068370204","https://openalex.org/W2073268725","https://openalex.org/W2145001205","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2295107390","https://openalex.org/W2345493290","https://openalex.org/W2464293951","https://openalex.org/W2496554398","https://openalex.org/W2530935544","https://openalex.org/W2562607067","https://openalex.org/W2585078266","https://openalex.org/W2589781911","https://openalex.org/W2744086288","https://openalex.org/W2752201871","https://openalex.org/W2759141552","https://openalex.org/W2772301152","https://openalex.org/W2787322434","https://openalex.org/W2802301063","https://openalex.org/W2802898729","https://openalex.org/W2804302410","https://openalex.org/W2889251616","https://openalex.org/W2890931111","https://openalex.org/W2891300059","https://openalex.org/W2896337548","https://openalex.org/W2899232971","https://openalex.org/W2899935396","https://openalex.org/W2902962093","https://openalex.org/W2903110172","https://openalex.org/W2903639314","https://openalex.org/W2923528470","https://openalex.org/W2946185384","https://openalex.org/W2960680116","https://openalex.org/W2962692632","https://openalex.org/W2962772361","https://openalex.org/W2963874170","https://openalex.org/W2963931075","https://openalex.org/W2969831530","https://openalex.org/W2977285514","https://openalex.org/W2993601229","https://openalex.org/W2996128091","https://openalex.org/W2998923208","https://openalex.org/W3000546628","https://openalex.org/W3000739907","https://openalex.org/W3002879617","https://openalex.org/W3002917088","https://openalex.org/W3021545172","https://openalex.org/W3101606352","https://openalex.org/W4210997624","https://openalex.org/W4294170691","https://openalex.org/W4294367149","https://openalex.org/W6682124274","https://openalex.org/W6682691769","https://openalex.org/W6723545294","https://openalex.org/W6744678937","https://openalex.org/W6747248625"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W1987128138","https://openalex.org/W2743976221","https://openalex.org/W1769094419"],"abstract_inverted_index":{"Students'":[0],"feedback":[1,188],"is":[2,20,29,54,159],"an":[3],"effective":[4],"mechanism":[5],"that":[6,46,202,226],"provides":[7],"valuable":[8],"insights":[9],"about":[10],"teaching-learning":[11],"process.":[12],"Handling":[13],"opinions":[14,86],"of":[15,87,123,127,185],"students":[16,88],"expressed":[17,89,109],"in":[18,65,69,78,90,143,189],"reviews":[19,177],"a":[21,49,81,111,182],"quite":[22],"labour-intensive":[23,238],"and":[24,67,100,130,181,217,237],"tedious":[25],"task":[26,39],"as":[27,59],"it":[28,53,60,149],"typically":[30],"performed":[31],"manually":[32,155,245],"by":[33],"the":[34,93,116,132,139,144,152,160,213,218,223,227,235],"human":[35],"intervention.":[36],"While":[37],"this":[38,74,79],"may":[40],"be":[41],"viable":[42],"for":[43,56,154,163],"small-scale":[44],"courses":[45,64],"involve":[47],"just":[48],"few":[50],"students'":[51,146,176,187],"feedback,":[52],"unpractical":[55],"large-scale":[57,169],"cases":[58],"applies":[61],"to":[62,72,83,102,115,136,195,211,230],"online":[63],"general,":[66],"MOOCs,":[68],"particular.":[70],"Therefore,":[71],"address":[73],"issue,":[75],"we":[76],"propose":[77],"paper":[80],"framework":[82,94,120,205,228],"automatically":[84,103],"analyzing":[85],"reviews.":[91,147],"Specifically,":[92],"relies":[95],"on":[96,244],"aspect-level":[97],"sentiment":[98,105,220,239],"analysis":[99,240],"aims":[101],"identify":[104,138],"or":[106],"opinion":[107],"polarity":[108],"towards":[110],"given":[112],"aspect":[113,140,214,219],"related":[114],"MOOC.":[117],"The":[118,198],"proposed":[119,204],"takes":[121],"advantage":[122],"weakly":[124],"supervised":[125],"annotation":[126],"MOOC-related":[128],"aspects":[129],"propagates":[131],"weak":[133],"supervision":[134],"signal":[135],"effectively":[137],"categories":[141],"discussed":[142],"unlabeled":[145],"Consequently,":[148],"significantly":[150],"reduces":[151],"need":[153],"annotated":[156],"data":[157],"which":[158],"main":[161],"bottleneck":[162],"all":[164],"deep":[165],"learning":[166],"techniques.":[167],"A":[168],"real-world":[170],"education":[171],"dataset":[172,183],"containing":[173],"around":[174],"105k":[175],"collected":[178],"from":[179],"Coursera":[180],"comprising":[184],"5989":[186],"traditional":[190],"classroom":[191],"settings":[192],"are":[193],"used":[194],"perform":[196],"experiments.":[197],"experimental":[199],"results":[200,224,233],"indicate":[201],"our":[203],"attains":[206],"inspiring":[207],"performance":[208],"with":[209],"respect":[210],"both":[212],"category":[215],"identification":[216],"classification.":[221],"Moreover,":[222],"suggest":[225],"leads":[229],"more":[231],"accurate":[232],"than":[234],"expensive":[236],"techniques":[241],"relying":[242],"heavily":[243],"labelled":[246],"data.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":9}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2020-06-19T00:00:00"}