{"id":"https://openalex.org/W4409445909","doi":"https://doi.org/10.3390/computation13040096","title":"Deep Learning-Based Short Text Summarization: An Integrated BERT and Transformer Encoder\u2013Decoder Approach","display_name":"Deep Learning-Based Short Text Summarization: An Integrated BERT and Transformer Encoder\u2013Decoder Approach","publication_year":2025,"publication_date":"2025-04-12","ids":{"openalex":"https://openalex.org/W4409445909","doi":"https://doi.org/10.3390/computation13040096"},"language":"en","primary_location":{"id":"doi:10.3390/computation13040096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13040096","pdf_url":"https://www.mdpi.com/2079-3197/13/4/96/pdf?version=1744464507","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-3197/13/4/96/pdf?version=1744464507","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051529954","display_name":"Fahd A. Ghanem","orcid":"https://orcid.org/0000-0002-5055-0137"},"institutions":[{"id":"https://openalex.org/I204743663","display_name":"University of Mysore","ror":"https://ror.org/012bxv356","country_code":"IN","type":"education","lineage":["https://openalex.org/I204743663"]},{"id":"https://openalex.org/I31605765","display_name":"Hodeidah University","ror":"https://ror.org/05fkpm735","country_code":"YE","type":"education","lineage":["https://openalex.org/I31605765"]}],"countries":["IN","YE"],"is_corresponding":true,"raw_author_name":"Fahd A. Ghanem","raw_affiliation_strings":["Department of Computer Science & Engineering, PES College of Engineering (Affiliated to University of Mysore), Mandya 571401, India","Department of Computer Science, College of Education-Zabid, Hodeidah University, Hodeidah P.O. Box 3114, Yemen"],"raw_orcid":"https://orcid.org/0000-0002-5055-0137","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, PES College of Engineering (Affiliated to University of Mysore), Mandya 571401, India","institution_ids":["https://openalex.org/I204743663"]},{"raw_affiliation_string":"Department of Computer Science, College of Education-Zabid, Hodeidah University, Hodeidah P.O. Box 3114, Yemen","institution_ids":["https://openalex.org/I31605765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113457221","display_name":"M. C. Padma","orcid":null},"institutions":[{"id":"https://openalex.org/I204743663","display_name":"University of Mysore","ror":"https://ror.org/012bxv356","country_code":"IN","type":"education","lineage":["https://openalex.org/I204743663"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. C. Padma","raw_affiliation_strings":["Department of Computer Science & Engineering, PES College of Engineering (Affiliated to University of Mysore), Mandya 571401, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, PES College of Engineering (Affiliated to University of Mysore), Mandya 571401, India","institution_ids":["https://openalex.org/I204743663"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062210815","display_name":"Hudhaifa Mohammed Abdulwahab","orcid":"https://orcid.org/0000-0001-6631-051X"},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hudhaifa M. Abdulwahab","raw_affiliation_strings":["Department of Computer Application, Ramaiah Institute of Technology (Affiliated to VTU), Bengaluru 560054, India"],"raw_orcid":"https://orcid.org/0000-0001-6631-051X","affiliations":[{"raw_affiliation_string":"Department of Computer Application, Ramaiah Institute of Technology (Affiliated to VTU), Bengaluru 560054, India","institution_ids":["https://openalex.org/I302410947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033673749","display_name":"Ramez Alkhatib","orcid":"https://orcid.org/0000-0003-3216-5048"},"institutions":[{"id":"https://openalex.org/I4210128097","display_name":"Research Center Borstel - Leibniz Lung Center","ror":"https://ror.org/036ragn25","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210128097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ramez Alkhatib","raw_affiliation_strings":["BMB Nord, Research Center Borstel, Parkallee 35, 23845 Borstel, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3216-5048","affiliations":[{"raw_affiliation_string":"BMB Nord, Research Center Borstel, Parkallee 35, 23845 Borstel, Germany","institution_ids":["https://openalex.org/I4210128097"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033673749","https://openalex.org/A5051529954"],"corresponding_institution_ids":["https://openalex.org/I204743663","https://openalex.org/I31605765","https://openalex.org/I4210128097"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":15.2128,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98691277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"96","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987000226974487,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8772404193878174},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7626552581787109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769104599952698},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6716169714927673},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5992728471755981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5228453278541565},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39654916524887085},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39138028025627136},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.20932301878929138},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1260538399219513},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.04971703886985779}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8772404193878174},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7626552581787109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769104599952698},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6716169714927673},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5992728471755981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5228453278541565},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39654916524887085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39138028025627136},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.20932301878929138},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1260538399219513},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.04971703886985779},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computation13040096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13040096","pdf_url":"https://www.mdpi.com/2079-3197/13/4/96/pdf?version=1744464507","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e5e5da289c0e4c5e84f0b58da2848f55","is_oa":true,"landing_page_url":"https://doaj.org/article/e5e5da289c0e4c5e84f0b58da2848f55","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computation, Vol 13, Iss 4, p 96 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computation13040096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation13040096","pdf_url":"https://www.mdpi.com/2079-3197/13/4/96/pdf?version=1744464507","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409445909.pdf","grobid_xml":"https://content.openalex.org/works/W4409445909.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1964849974","https://openalex.org/W2039785233","https://openalex.org/W2606974598","https://openalex.org/W2730423779","https://openalex.org/W2883597361","https://openalex.org/W2896457183","https://openalex.org/W2970419734","https://openalex.org/W2974423417","https://openalex.org/W2985808369","https://openalex.org/W2989620833","https://openalex.org/W2994033896","https://openalex.org/W2994917472","https://openalex.org/W3027042170","https://openalex.org/W3041929524","https://openalex.org/W3042185737","https://openalex.org/W3096887682","https://openalex.org/W3159156191","https://openalex.org/W3167322753","https://openalex.org/W3205129064","https://openalex.org/W4205464839","https://openalex.org/W4224310744","https://openalex.org/W4224957132","https://openalex.org/W4283725441","https://openalex.org/W4303423618","https://openalex.org/W4307727568","https://openalex.org/W4312221408","https://openalex.org/W4312305214","https://openalex.org/W4313415421","https://openalex.org/W4321108071","https://openalex.org/W4362706846","https://openalex.org/W4366957355","https://openalex.org/W4376608362","https://openalex.org/W4386385376","https://openalex.org/W4386748523","https://openalex.org/W4389520286","https://openalex.org/W4392693724","https://openalex.org/W4393146128","https://openalex.org/W4393930293","https://openalex.org/W4394859449","https://openalex.org/W4396841884","https://openalex.org/W4401046976","https://openalex.org/W4401768474","https://openalex.org/W4403453160","https://openalex.org/W4403608418","https://openalex.org/W4404488580","https://openalex.org/W4406016076","https://openalex.org/W4406245451","https://openalex.org/W4406321622","https://openalex.org/W4406444875","https://openalex.org/W4408071746","https://openalex.org/W6660177693","https://openalex.org/W6737294268","https://openalex.org/W6753423022","https://openalex.org/W6794748464","https://openalex.org/W6872016402"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W4317547544","https://openalex.org/W4313395829"],"abstract_inverted_index":{"The":[0,97,157],"field":[1],"of":[2,32,159],"text":[3,93,206],"summarization":[4,94],"has":[5],"evolved":[6],"from":[7,56,71,104,195],"basic":[8],"extractive":[9],"methods":[10],"that":[11,19,145,184],"identify":[12],"key":[13,193],"sentences":[14],"to":[15,64,117,131],"sophisticated":[16],"abstractive":[17],"techniques":[18],"generate":[20],"contextually":[21,152],"meaningful":[22],"summaries.":[23,140],"In":[24],"today\u2019s":[25],"digital":[26],"landscape,":[27],"where":[28],"an":[29,114],"immense":[30],"volume":[31],"textual":[33],"data":[34],"is":[35,46],"produced":[36],"every":[37],"day,":[38],"the":[39,160,178,185,200],"need":[40],"for":[41,90,212],"concise":[42],"and":[43,69,77,138,151,171,215],"coherent":[44],"summaries":[45,147],"more":[47],"crucial":[48],"than":[49],"ever.":[50],"However,":[51],"summarizing":[52,216],"short":[53,92,205],"texts,":[54],"particularly":[55],"platforms":[57],"like":[58],"Twitter,":[59],"presents":[60],"unique":[61],"challenges":[62],"due":[63],"character":[65],"constraints,":[66],"informal":[67],"language,":[68],"noise":[70],"elements":[72],"such":[73],"as":[74,177],"hashtags,":[75],"mentions,":[76],"URLs.":[78],"To":[79],"overcome":[80],"these":[81],"challenges,":[82],"this":[83],"paper":[84],"introduces":[85],"a":[86,108,209],"deep":[87],"learning":[88],"framework":[89,162],"automated":[91,204],"on":[95],"Twitter.":[96],"proposed":[98,161],"approach":[99],"combines":[100],"bidirectional":[101],"encoder":[102],"representations":[103],"transformers":[105],"(BERT)":[106],"with":[107],"transformer-based":[109],"encoder\u2013decoder":[110],"architecture":[111],"(TEDA),":[112],"incorporating":[113],"attention":[115],"mechanism":[116],"improve":[118],"contextual":[119],"understanding.":[120],"Additionally,":[121],"long":[122],"short-term":[123],"memory":[124],"(LSTM)":[125],"networks":[126],"are":[127],"integrated":[128],"within":[129],"BERT":[130],"effectively":[132],"capture":[133],"long-range":[134],"dependencies":[135],"in":[136,190,203],"tweets":[137],"their":[139],"This":[141],"hybrid":[142],"model":[143,186],"ensures":[144],"generated":[146],"remain":[148],"informative,":[149],"concise,":[150],"relevant":[153],"while":[154],"minimizing":[155],"redundancy.":[156],"performance":[158],"was":[163],"assessed":[164],"using":[165],"three":[166],"benchmark":[167],"Twitter":[168],"datasets\u2014Hagupit,":[169],"SHShoot,":[170],"Hyderabad":[172],"Blast\u2014with":[173],"ROUGE":[174],"scores":[175],"serving":[176],"evaluation":[179],"metric.":[180],"Experimental":[181],"results":[182],"demonstrate":[183],"surpasses":[187],"existing":[188],"approaches":[189],"accurately":[191],"capturing":[192],"information":[194],"tweets.":[196],"These":[197],"findings":[198],"underscore":[199],"framework\u2019s":[201],"effectiveness":[202],"summarization,":[207],"offering":[208],"robust":[210],"solution":[211],"efficiently":[213],"processing":[214],"large-scale":[217],"social":[218],"media":[219],"content.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}