{"id":"https://openalex.org/W4285741594","doi":"https://doi.org/10.1109/tlt.2022.3192116","title":"Optimizing Automatic Text Classification Approach in Adaptive Online Collaborative Discussion\u2013A Perspective of Attention Mechanism-Based Bi-LSTM","display_name":"Optimizing Automatic Text Classification Approach in Adaptive Online Collaborative Discussion\u2013A Perspective of Attention Mechanism-Based Bi-LSTM","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4285741594","doi":"https://doi.org/10.1109/tlt.2022.3192116"},"language":"en","primary_location":{"id":"doi:10.1109/tlt.2022.3192116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tlt.2022.3192116","pdf_url":null,"source":{"id":"https://openalex.org/S130363450","display_name":"IEEE Transactions on Learning Technologies","issn_l":"1939-1382","issn":["1939-1382","2372-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Learning Technologies","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/A5075218115","display_name":"Yafeng Zheng","orcid":"https://orcid.org/0000-0003-4599-163X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yafeng Zheng","raw_affiliation_strings":["Center for Educational Science and Technology, Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Center for Educational Science and Technology, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085466487","display_name":"Zhanghao Gao","orcid":"https://orcid.org/0000-0002-3539-202X"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanghao Gao","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031318875","display_name":"Jun Shen","orcid":"https://orcid.org/0000-0002-9403-7140"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Shen","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077087618","display_name":"Xuesong Zhai","orcid":"https://orcid.org/0000-0002-4179-7859"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Zhai","raw_affiliation_strings":["College of Education, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Education, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075218115"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":4.1249,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94586895,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":"5","first_page":"591","last_page":"602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9926000237464905,"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"}},"topics":[{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9926000237464905,"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/T10636","display_name":"Innovative Teaching and Learning Methods","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9731000065803528,"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":0.844069242477417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.659597635269165},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6024750471115112},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5808457732200623},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5702266097068787},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49951839447021484},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47684016823768616},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.46462568640708923},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4577975571155548},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.41467684507369995},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3461248576641083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.844069242477417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.659597635269165},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6024750471115112},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5808457732200623},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5702266097068787},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49951839447021484},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47684016823768616},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.46462568640708923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4577975571155548},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.41467684507369995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3461248576641083},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tlt.2022.3192116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tlt.2022.3192116","pdf_url":null,"source":{"id":"https://openalex.org/S130363450","display_name":"IEEE Transactions on Learning Technologies","issn_l":"1939-1382","issn":["1939-1382","2372-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Learning Technologies","raw_type":"journal-article"},{"id":"pmh:oai:ro.uow.edu.au:test2021-11361","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/test2021/5814","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Test Series for Scopus Harvesting 2021","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5299999713897705,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2983481009","display_name":null,"funder_award_id":"62177042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6608904072","display_name":null,"funder_award_id":"61907011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1980867644","https://openalex.org/W1992909273","https://openalex.org/W2023372543","https://openalex.org/W2057455558","https://openalex.org/W2062318398","https://openalex.org/W2064675550","https://openalex.org/W2067383997","https://openalex.org/W2077306004","https://openalex.org/W2077563243","https://openalex.org/W2079735306","https://openalex.org/W2085669570","https://openalex.org/W2091378680","https://openalex.org/W2098992993","https://openalex.org/W2148248071","https://openalex.org/W2155996867","https://openalex.org/W2295260089","https://openalex.org/W2517194566","https://openalex.org/W2744086288","https://openalex.org/W2800318991","https://openalex.org/W2808833967","https://openalex.org/W2883034792","https://openalex.org/W2885465269","https://openalex.org/W2887510128","https://openalex.org/W2914767245","https://openalex.org/W2921496098","https://openalex.org/W2937423263","https://openalex.org/W2940427621","https://openalex.org/W2946786104","https://openalex.org/W2958019793","https://openalex.org/W2964046661","https://openalex.org/W3018659574","https://openalex.org/W3018851969","https://openalex.org/W3093120903","https://openalex.org/W3094408033","https://openalex.org/W3105625590","https://openalex.org/W3106652897","https://openalex.org/W3111442955","https://openalex.org/W4297941639","https://openalex.org/W6787144140"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2754876402"],"abstract_inverted_index":{"A":[0,162],"text":[1],"semantic":[2,104],"classification":[3,192],"is":[4,32,72,95,199],"an":[5,99,222,230],"essential":[6],"approach":[7,224],"to":[8,39,70,81,84,97,102,107,123,130,225],"recognizing":[9],"the":[10,22,40,65,77,108,111,145,151,159,191,204,212],"verbal":[11,61,68,86,146],"intention":[12],"of":[13,24,67,79,164,194,203,214,217],"online":[14,30,170,231],"learners,":[15],"empowering":[16],"reliable":[17],"understanding,":[18],"and":[19,53,138,148,150,186,219],"inquiry":[20],"for":[21],"regulations":[23],"knowledge":[25],"construction":[26],"amongst":[27],"students.":[28],"However,":[29],"learning":[31,46,116,134],"increasingly":[33],"switching":[34],"from":[35],"static":[36],"watching":[37],"patterns":[38],"collaborative":[41,171,215],"discussion.":[42],"The":[43,89],"current":[44],"deep":[45,115,133],"models,":[47],"such":[48],"as":[49],"convolutional":[50],"neural":[51,55],"networks":[52],"recurrent":[54],"network,":[56],"are":[57],"ineffective":[58],"in":[59,114,141,156,169,229],"classifying":[60],"content":[62],"contextually.":[63],"Moreover,":[64,110],"contribution":[66],"elements":[69,83],"semantics":[71],"often":[73],"considerably":[74],"varied,":[75],"requiring":[76],"attachment":[78],"weights":[80,122],"these":[82],"increase":[85],"recognition":[87],"precision.":[88],"bidirectional":[90],"long":[91],"short-term":[92],"memory":[93],"(Bi-LSTM)":[94],"considered":[96],"be":[98],"adaptive":[100],"model":[101,135],"investigate":[103],"relations":[105],"according":[106],"context.":[109,232],"attention":[112,139,160],"mechanism":[113],"simulating":[117],"human":[118],"vision":[119],"could":[120],"assign":[121],"target":[124],"texts":[125],"effectively.":[126],"This":[127,208],"study":[128,209],"proposed":[129],"construct":[131],"a":[132],"combining":[136],"Bi-LSTM":[137,143,206],"mechanism,":[140],"which":[142,198],"obtained":[144],"features":[147,213],"keywords,":[149],"generated":[152,168],"keywords":[153],"were":[154],"weighed":[155],"accordance":[157],"with":[158],"mechanism.":[161],"total":[163],"12":[165],"000":[166],"sentences":[167],"discussion":[172,216],"activities":[173],"have":[174],"been":[175],"classified":[176],"into":[177],"six":[178],"categories,":[179],"namely,":[180],"statement,":[181],"negotiation,":[182],"question,":[183],"management,":[184],"emotion,":[185],"others.":[187],"Results":[188],"showed":[189],"that":[190,202],"accuracy":[193],"attention-Bi-LSTM":[195],"reached":[196],"81.50%,":[197],"higher":[200],"than":[201],"baseline":[205],"model.":[207],"theoretically":[210],"uncovers":[211],"onliners":[218],"practically":[220],"provides":[221],"effective":[223],"automatic":[226],"behavior":[227],"analysis":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
