{"id":"https://openalex.org/W2998706831","doi":"https://doi.org/10.1109/icccnt45670.2019.8944562","title":"Text analysis for Bengali Text Summarization using Deep Learning","display_name":"Text analysis for Bengali Text Summarization using Deep Learning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2998706831","doi":"https://doi.org/10.1109/icccnt45670.2019.8944562","mag":"2998706831"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt45670.2019.8944562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt45670.2019.8944562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070367392","display_name":"Abdullah Al Munzir","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abdullah Al Munzir","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","Dept. of CSE, Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]},{"raw_affiliation_string":"Dept. of CSE, Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101426571","display_name":"Md Lutfor Rahman","orcid":"https://orcid.org/0009-0009-9664-4786"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Lutfor Rahman","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","Dept. of CSE, Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]},{"raw_affiliation_string":"Dept. of CSE, Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034385435","display_name":"Sheikh Abujar","orcid":"https://orcid.org/0000-0002-3563-2118"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sheikh Abujar","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","Dept. of CSE, Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]},{"raw_affiliation_string":"Dept. of CSE, Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063138957","display_name":"Ohidujjaman Ohidujjaman","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ohidujjaman","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","Dept. of CSE, Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]},{"raw_affiliation_string":"Dept. of CSE, Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069954640","display_name":"Syed Akhter Hossain","orcid":"https://orcid.org/0000-0001-6546-9692"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Syed Akhter Hossain","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","Dept. of CSE, Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]},{"raw_affiliation_string":"Dept. of CSE, Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":0.6561,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76184715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"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/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.993399977684021,"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":0.9712915420532227},{"id":"https://openalex.org/keywords/bengali","display_name":"Bengali","score":0.8598573207855225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7838795781135559},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7820948362350464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7342319488525391},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7178839445114136},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.650475263595581},{"id":"https://openalex.org/keywords/rouge","display_name":"ROUGE","score":0.5135186314582825},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43188485503196716},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.41995179653167725},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.4155273139476776},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3222743272781372}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9712915420532227},{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.8598573207855225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7838795781135559},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7820948362350464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7342319488525391},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7178839445114136},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.650475263595581},{"id":"https://openalex.org/C7888048","wikidata":"https://www.wikidata.org/wiki/Q7277427","display_name":"ROUGE","level":2,"score":0.5135186314582825},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43188485503196716},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.41995179653167725},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.4155273139476776},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3222743272781372}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt45670.2019.8944562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt45670.2019.8944562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W77694427","https://openalex.org/W912777836","https://openalex.org/W1628967614","https://openalex.org/W1872699312","https://openalex.org/W1924770834","https://openalex.org/W1974339500","https://openalex.org/W2057686806","https://openalex.org/W2064675550","https://openalex.org/W2066350381","https://openalex.org/W2092246763","https://openalex.org/W2123086176","https://openalex.org/W2443346182","https://openalex.org/W2574535369","https://openalex.org/W2757311323","https://openalex.org/W2772341632","https://openalex.org/W2895761562","https://openalex.org/W2911160197","https://openalex.org/W3006440582","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1628967614","https://openalex.org/W4297817541","https://openalex.org/W2000777050","https://openalex.org/W4312318079","https://openalex.org/W2110921901","https://openalex.org/W2151695628","https://openalex.org/W2067578024","https://openalex.org/W3010337296","https://openalex.org/W4206715480","https://openalex.org/W1522896066"],"abstract_inverted_index":{"Text":[0],"summarization":[1,76],"is":[2,14,95],"an":[3,73],"approach":[4],"by":[5],"which":[6,41],"the":[7,17,21,25,43,48,60,98,105],"size":[8],"of":[9,24,31,45,47,84],"one":[10],"or":[11,102],"more":[12,125],"document":[13,91],"shortened":[15],"and":[16,59,127,139],"shorten":[18],"passage":[19],"presents":[20],"core":[22],"information":[23,32],"document.":[26],"In":[27,68],"this":[28,69],"modern":[29],"era":[30],"technology,":[33],"we":[34,71,122,128],"are":[35,65],"over":[36],"flooded":[37],"with":[38],"online":[39],"data":[40],"raised":[42],"necessity":[44],"summary":[46],"original":[49],"text.":[50],"Many":[51],"methods":[52],"have":[53,108],"already":[54],"implemented":[55],"for":[56,62,89,104,136],"English":[57],"text":[58,64,75],"effort":[61],"Bengali":[63],"gaining":[66],"alongside.":[67],"paper,":[70],"propose":[72],"extractive":[74],"technique":[77],"based":[78,118],"on":[79],"a":[80],"deep":[81],"learning":[82],"model":[83],"Recurrent":[85,115],"Neural":[86],"Network":[87],"(RNN)":[88],"single":[90],"summary.":[92,106],"Our":[93],"method":[94],"to":[96],"classify":[97],"sentences":[99],"as":[100],"significant":[101],"not":[103],"We":[107],"used":[109],"Long":[110],"Short-Term":[111],"Memory":[112],"(LSTM),":[113],"Gated":[114],"Units":[116],"(GRU)":[117],"RNN.":[119],"Between":[120],"them,":[121],"found":[123],"LSTM":[124],"promising":[126],"achieved":[129],"average":[130],"F1":[131],"scores-":[132],"0.63,":[133],"0.59,":[134],"0.56":[135],"Rouge-1,":[137],"Rouge-2":[138],"Rouge-3":[140],"in":[141],"some":[142],"respects.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}