{"id":"https://openalex.org/W4360585189","doi":"https://doi.org/10.1109/ic3i56241.2022.10072802","title":"Most Possible Likely Word Generation for Text based Applications using Generative Pretrained Transformer model Comparing to Long Short Term Memory Model","display_name":"Most Possible Likely Word Generation for Text based Applications using Generative Pretrained Transformer model Comparing to Long Short Term Memory Model","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4360585189","doi":"https://doi.org/10.1109/ic3i56241.2022.10072802"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i56241.2022.10072802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i56241.2022.10072802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5049710116","display_name":"Pilligundla Niharika","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Niharika","raw_affiliation_strings":["Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamilnadu,India","Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamilnadu,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077208390","display_name":"S. John Justin Thangaraj","orcid":"https://orcid.org/0000-0002-1384-9340"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. John Justin Thangaraj","raw_affiliation_strings":["Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamilnadu,India","Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamilnadu,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049710116"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63539804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"845","last_page":"849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9939000010490417,"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/T10028","display_name":"Topic Modeling","score":0.9939000010490417,"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":0.9884999990463257,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.984000027179718,"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/transformer","display_name":"Transformer","score":0.8634244203567505},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7786803841590881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572370767593384},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.6175763607025146},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.549368143081665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5279359221458435},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48143455386161804},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47935062646865845},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46169790625572205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36998263001441956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3328050971031189},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.30549073219299316},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08848965167999268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06873655319213867}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.8634244203567505},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7786803841590881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572370767593384},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.6175763607025146},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.549368143081665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5279359221458435},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48143455386161804},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47935062646865845},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46169790625572205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36998263001441956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3328050971031189},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.30549073219299316},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08848965167999268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06873655319213867},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i56241.2022.10072802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i56241.2022.10072802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2460366712","https://openalex.org/W2531867140","https://openalex.org/W2555428947","https://openalex.org/W2612769033","https://openalex.org/W2885764615","https://openalex.org/W2916760211","https://openalex.org/W2941780884","https://openalex.org/W2947681066","https://openalex.org/W2981601776","https://openalex.org/W2982335240","https://openalex.org/W3000164981","https://openalex.org/W3029781783","https://openalex.org/W3095101245","https://openalex.org/W3100258764","https://openalex.org/W3107241806","https://openalex.org/W3134808889","https://openalex.org/W3137665520","https://openalex.org/W3208821253","https://openalex.org/W3209227626","https://openalex.org/W4205671217","https://openalex.org/W4241530538","https://openalex.org/W4256654562","https://openalex.org/W6753175774","https://openalex.org/W7002254874","https://openalex.org/W7042985444","https://openalex.org/W7058202793"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W2912153778","https://openalex.org/W4387163678","https://openalex.org/W4288108708","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W2973430807","https://openalex.org/W4387506531","https://openalex.org/W4385280324"],"abstract_inverted_index":{"In":[0,147],"contrast":[1],"to":[2,12,86,94],"long":[3,54,111,166,192],"short":[4,55,61,112,167,193],"term":[5,56,62,113,168,194],"memory":[6,57,63,114],"techniques,":[7],"the":[8,37,77,118,122,126,143,149,155,176],"proposed":[9],"study":[10,156,171],"intends":[11],"produce":[13],"automatic":[14],"next":[15,78,150],"word":[16,128,151,179],"generation":[17,182],"for":[18,73,97,117,129,152,180],"text-based":[19,153],"applications":[20],"while":[21],"enhancing":[22],"accuracy":[23,75,123],"using":[24],"state-of-the-art":[25],"generative":[26,49,69,135,159,185],"pretrained":[27,50,70,136,160,186],"transformers":[28,137,161,187],"and":[29,34,53,84],"recurrent":[30],"neural":[31],"networks.":[32],"Materials":[33],"Methods:":[35],"On":[36],"data,":[38],"which":[39],"is":[40],"a":[41,45,101,110],"text":[42,130,181],"file":[43],"including":[44],"series":[46],"of":[47,76,104],"words,":[48],"transformer":[51,71],"models":[52,72],"are":[58,162,188],"used.":[59],"Long":[60],"model":[64,115],"that":[65,158,173],"contrasts":[66],"cutting":[67],"edge":[68],"recommendation":[74],"word.":[79],"It":[80],"has":[81],"been":[82],"suggested":[83],"created":[85],"use":[87],"LSTM.":[88],"The":[89,170],"sample":[90],"size":[91],"was":[92,138],"calculated":[93],"be":[95],"8046":[96],"each":[98],"group":[99],"with":[100,109,142],"G":[102],"power":[103],"0.8.":[105],"Results:":[106],"When":[107],"compared":[108],"(70.84%)":[116],"same":[119],"dataset":[120],"p=0.02(p<0.05),":[121],"in":[124],"predicting":[125],"upcoming":[127],"editor":[131],"based":[132,183],"Applications":[133],"utilizing":[134],"greatest":[139],"at":[140],"87.98%":[141],"lowest":[144],"mean":[145],"error.":[146],"generating":[148],"Applications,":[154],"shows":[157],"more":[163,189],"accurate":[164,190],"than":[165,191],"memory..Conclusion:":[169],"demonstrates":[172],"when":[174],"recommending":[175],"most":[177],"possible":[178],"applications,":[184],"memory.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}