{"id":"https://openalex.org/W3093722805","doi":"https://doi.org/10.1109/tale48000.2019.9225993","title":"A Shallow BERT-CNN Model for Sentiment Analysis on MOOCs Comments","display_name":"A Shallow BERT-CNN Model for Sentiment Analysis on MOOCs Comments","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3093722805","doi":"https://doi.org/10.1109/tale48000.2019.9225993","mag":"3093722805"},"language":"en","primary_location":{"id":"doi:10.1109/tale48000.2019.9225993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tale48000.2019.9225993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Engineering, Technology and Education (TALE)","raw_type":"proceedings-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/A5100330993","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0001-5471-1236"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Li","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461095","display_name":"Hongbo Zhang","orcid":"https://orcid.org/0000-0002-4617-9646"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627880","display_name":"Yuanxin Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxin Ouyang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103477851","display_name":"Xiong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055420596","display_name":"Wenge Rong","orcid":"https://orcid.org/0000-0002-4229-7215"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenge Rong","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100330993"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.4002,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86848929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9979000091552734,"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/T10028","display_name":"Topic Modeling","score":0.9768000245094299,"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/computer-science","display_name":"Computer science","score":0.8477317094802856},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8281610608100891},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7085644006729126},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6233497858047485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6136280298233032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5584753751754761},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5423932075500488},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5422511696815491},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43182867765426636},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4290345311164856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8477317094802856},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8281610608100891},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7085644006729126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6233497858047485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6136280298233032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5584753751754761},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5423932075500488},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5422511696815491},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43182867765426636},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4290345311164856},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tale48000.2019.9225993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tale48000.2019.9225993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Engineering, Technology and Education (TALE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W193524605","https://openalex.org/W1832693441","https://openalex.org/W1970592556","https://openalex.org/W2149933564","https://openalex.org/W2170240176","https://openalex.org/W2250275424","https://openalex.org/W2295164685","https://openalex.org/W2335805127","https://openalex.org/W2470673105","https://openalex.org/W2506633516","https://openalex.org/W2537027648","https://openalex.org/W2562439797","https://openalex.org/W2567201181","https://openalex.org/W2587019100","https://openalex.org/W2587163726","https://openalex.org/W2606902231","https://openalex.org/W2762499503","https://openalex.org/W2787046717","https://openalex.org/W2804552794","https://openalex.org/W2804869262","https://openalex.org/W2884997352","https://openalex.org/W2896457183","https://openalex.org/W2897359436","https://openalex.org/W2899329739","https://openalex.org/W2903456573","https://openalex.org/W2962824509","https://openalex.org/W2963012544","https://openalex.org/W2963026768","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2964251854","https://openalex.org/W4299518610","https://openalex.org/W4385245566","https://openalex.org/W6607799657","https://openalex.org/W6682132143","https://openalex.org/W6685053522","https://openalex.org/W6696954711","https://openalex.org/W6728571766","https://openalex.org/W6733081445","https://openalex.org/W6739901393","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2810679507","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Reviewing":[0],"course":[1],"comments":[2,23,67],"in":[3,22,119],"MOOCs":[4,66],"(Massive":[5],"Open":[6],"Online":[7],"Courses)":[8],"is":[9],"the":[10,63,79,102,127,137],"easiest":[11],"way":[12],"for":[13,28,55],"users":[14],"or":[15],"teachers":[16],"to":[17,38,61],"evaluate":[18],"courses.":[19],"Information":[20],"hidden":[21],"could":[24,48,115],"be":[25,49,116],"automatically":[26],"analyzed":[27],"such":[29],"evaluation":[30],"by":[31],"data":[32],"mining":[33],"methods,":[34],"which":[35,82],"are":[36],"applied":[37],"identify":[39],"problems":[40],"and":[41,94,132],"improve":[42],"educational":[43],"outcomes.":[44],"Particularly,":[45],"sentiment":[46,64],"analysis":[47],"used":[50,118],"as":[51,78],"a":[52,74,85,91,95,107],"first":[53],"step":[54],"further":[56],"analysis.":[57],"Our":[58],"work":[59],"aims":[60],"analyze":[62],"of":[65,84,139,141],"with":[68],"deep":[69,112],"learning":[70,113],"approaches.":[71],"We":[72],"use":[73],"shallow":[75,86],"BERT-CNN":[76],"model":[77,124],"comment":[80],"classifier,":[81],"consists":[83],"pre-trained":[87],"BERT":[88],"(6":[89],"layers),":[90],"convolutional":[92],"layer,":[93],"self-attention":[96],"pooling":[97],"module.":[98],"Experiments":[99],"conducted":[100],"on":[101],"dataset":[103],"we":[104],"collected":[105],"from":[106],"MOOC":[108],"platform":[109],"demonstrate":[110],"that":[111],"approaches":[114],"effectively":[117],"this":[120],"task.":[121],"The":[122],"improved":[123],"maintains":[125],"nearly":[126],"same":[128],"performance":[129],"(81.3%":[130],"Accuracy":[131],"92.8%":[133],"F1)":[134],"while":[135],"reducing":[136],"number":[138],"parameters":[140],"60":[142],"million.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
