{"id":"https://openalex.org/W4327566777","doi":"https://doi.org/10.1080/0952813x.2023.2188262","title":"Gated Attention Based Deep Learning Model for Analyzing the Influence of Social Media on Education","display_name":"Gated Attention Based Deep Learning Model for Analyzing the Influence of Social Media on Education","publication_year":2023,"publication_date":"2023-03-16","ids":{"openalex":"https://openalex.org/W4327566777","doi":"https://doi.org/10.1080/0952813x.2023.2188262"},"language":"en","primary_location":{"id":"doi:10.1080/0952813x.2023.2188262","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2023.2188262","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"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":"Journal of Experimental & Theoretical Artificial Intelligence","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/A5027808729","display_name":"B. Praveen Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"B. Praveen Kumar","raw_affiliation_strings":["K L University","Department of Computer Science and Engineering, K L University, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"K L University","institution_ids":["https://openalex.org/I875944469"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, K L University, Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075857297","display_name":"A. V. Kalpana","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.V. kalpana","raw_affiliation_strings":["SRM Institute of Science and Technology","Department of Data Science and Business Systems, SRM Institute of Science and Technology, Kattankulathur, India"],"affiliations":[{"raw_affiliation_string":"SRM Institute of Science and Technology","institution_ids":["https://openalex.org/I145286018"]},{"raw_affiliation_string":"Department of Data Science and Business Systems, SRM Institute of Science and Technology, Kattankulathur, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087610989","display_name":"S. Nalini","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Nalini","raw_affiliation_strings":["SRM Institute of Science and Technology","Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, India"],"affiliations":[{"raw_affiliation_string":"SRM Institute of Science and Technology","institution_ids":["https://openalex.org/I145286018"]},{"raw_affiliation_string":"Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, India","institution_ids":["https://openalex.org/I145286018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027808729"],"corresponding_institution_ids":["https://openalex.org/I875944469"],"apc_list":null,"apc_paid":null,"fwci":2.4924,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91071773,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"37","issue":"2","first_page":"291","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9502999782562256,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.840672492980957},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.7495706677436829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6041749715805054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5354134440422058},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5335085391998291},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4834240674972534},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4807112514972687},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.46482279896736145},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.44892004132270813},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43575239181518555},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3873670995235443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840672492980957},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7495706677436829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041749715805054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5354134440422058},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5335085391998291},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4834240674972534},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4807112514972687},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.46482279896736145},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.44892004132270813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43575239181518555},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3873670995235443},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0952813x.2023.2188262","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2023.2188262","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"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":"Journal of Experimental & Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2182871984","https://openalex.org/W2521491036","https://openalex.org/W2522356742","https://openalex.org/W2592972803","https://openalex.org/W2775916869","https://openalex.org/W2887783384","https://openalex.org/W2898542755","https://openalex.org/W2909913588","https://openalex.org/W2947831340","https://openalex.org/W2965075997","https://openalex.org/W2982623704","https://openalex.org/W2989544359","https://openalex.org/W3000065748","https://openalex.org/W3047339184","https://openalex.org/W3091847065","https://openalex.org/W3118164373","https://openalex.org/W3195306343","https://openalex.org/W4205497783","https://openalex.org/W4220659753","https://openalex.org/W4220714916","https://openalex.org/W4220950178","https://openalex.org/W4236765470","https://openalex.org/W4287585970","https://openalex.org/W7011650749"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W2381242807","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,117,149,179],"major":[1,84,118],"aim":[2],"of":[3,18,23,55,78,120,151,177],"education":[4,10],"organisation":[5],"is":[6,26,37,48,62,123,155],"to":[7,11,30,39,124,143,198],"ensure":[8],"better":[9],"students":[12,184,199],"and":[13,93,102,110,142,164],"reducing":[14],"the":[15,32,52,56,76,98,103,145,152,158,170,175,183,190],"failure":[16],"percentage":[17],"poor":[19],"students.":[20,57,79,178],"Early":[21],"prediction":[22],"student\u2019s":[24],"performance":[25,54,77,150,176,195],"a":[27],"complex":[28,38],"process":[29],"enhance":[31],"academic":[33,147],"performance.":[34,96,148],"However,":[35],"it":[36],"analyse":[40],"huge":[41],"data":[42,59,73,99],"manually.":[43],"Therefore,":[44],"an":[45],"automated":[46],"model":[47,128,154,172],"essential":[49],"for":[50,71,74,189],"mining":[51,60],"educational":[53],"Educational":[58],"(EDM)":[61],"more":[63],"efficient":[64],"when":[65,196],"compared":[66,156,197],"with":[67,139],"statistical":[68],"approaches":[69],"utilised":[70],"exploring":[72],"predicting":[75],"This":[80],"work":[81,122],"has":[82],"four":[83],"processes:":[85],"(i)":[86],"pre-processing,":[87],"(ii)":[88],"feature":[89],"extraction,":[90],"(iii)":[91],"classification":[92],"(iv)":[94],"evaluating":[95],"Initially,":[97],"are":[100,106],"pre-processed":[101],"necessary":[104],"features":[105],"extracted":[107],"using":[108],"Word2Vec":[109],"Term":[111],"Frequency":[112],"&":[113],"Inverse":[114],"Gravity":[115],"Moment.":[116],"novelty":[119],"this":[121],"utilise":[125,186,201],"deep":[126],"learning":[127],"attention":[129],"based":[130],"on":[131],"bi-directional":[132],"long":[133],"short-term":[134],"memory":[135],"convolutional":[136],"neural":[137],"network":[138],"gate":[140],"mechanism":[141],"find":[144],"students\u2019":[146],"proposed":[153,171],"over":[157],"metrics":[159],"like":[160],"accuracy,":[161],"sensitivity,":[162],"precision":[163],"F-measure,":[165],"respectively.":[166],"Results":[167],"prove":[168],"that":[169,182],"highly":[173],"influences":[174],"analysis":[180],"showed":[181,193],"who":[185,200],"social":[187,202],"networks":[188,203],"whole":[191],"week":[192],"less":[194],"only":[204],"during":[205],"weekends.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}