{"id":"https://openalex.org/W4391107153","doi":"https://doi.org/10.32604/iasc.2022.029511","title":"News Modeling and Retrieving Information: Data-Driven Approach","display_name":"News Modeling and Retrieving Information: Data-Driven Approach","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4391107153","doi":"https://doi.org/10.32604/iasc.2022.029511"},"language":"en","primary_location":{"id":"doi:10.32604/iasc.2022.029511","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.029511","pdf_url":"https://www.techscience.com/iasc/online/detail/19815/pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"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":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.techscience.com/iasc/online/detail/19815/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011113138","display_name":"Elias Hossain","orcid":"https://orcid.org/0000-0002-9364-7916"},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Elias Hossain","raw_affiliation_strings":["Electrical & Computer Engineering, North South University, Dhaka, 1229, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering, North South University, Dhaka, 1229, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102779093","display_name":"Abdullah Alshahrani","orcid":"https://orcid.org/0000-0002-5988-888X"},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"Jeddah University","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdullah Alshahrani","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, 21493, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, 21493, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085563337","display_name":"Wahidur Rahman","orcid":"https://orcid.org/0000-0001-6115-2364"},"institutions":[{"id":"https://openalex.org/I205200222","display_name":"Uttara University","ror":"https://ror.org/035zypg15","country_code":"BD","type":"education","lineage":["https://openalex.org/I205200222"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Wahidur Rahman","raw_affiliation_strings":["Department of Computer Science and Engineering, Uttara University, Dhaka, 1230, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Uttara University, Dhaka, 1230, Bangladesh","institution_ids":["https://openalex.org/I205200222"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085563337"],"corresponding_institution_ids":["https://openalex.org/I205200222"],"apc_list":null,"apc_paid":null,"fwci":0.3327,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67808345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"38","issue":"2","first_page":"109","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9958000183105469,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9958000183105469,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9926999807357788,"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":0.9901000261306763,"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":0.8038883209228516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7211358547210693},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7008032202720642},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.5805822014808655},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5351335406303406},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5316852927207947},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5235521197319031},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.44715189933776855},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4388399124145508},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4332350492477417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39566677808761597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34354129433631897},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.32450127601623535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8038883209228516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7211358547210693},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7008032202720642},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.5805822014808655},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5351335406303406},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5316852927207947},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5235521197319031},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.44715189933776855},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4388399124145508},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4332350492477417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39566677808761597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34354129433631897},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.32450127601623535},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/iasc.2022.029511","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.029511","pdf_url":"https://www.techscience.com/iasc/online/detail/19815/pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"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":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/iasc.2022.029511","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.029511","pdf_url":"https://www.techscience.com/iasc/online/detail/19815/pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"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":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391107153.pdf","grobid_xml":"https://content.openalex.org/works/W4391107153.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W132962688","https://openalex.org/W292488259","https://openalex.org/W1753361524","https://openalex.org/W2144211451","https://openalex.org/W2736282266","https://openalex.org/W2900818277","https://openalex.org/W2937423263","https://openalex.org/W2960449550","https://openalex.org/W3003580126","https://openalex.org/W3016233728","https://openalex.org/W3021175879","https://openalex.org/W3021829213","https://openalex.org/W3081931428","https://openalex.org/W3087407824","https://openalex.org/W3105625590","https://openalex.org/W3129728844","https://openalex.org/W3156333129","https://openalex.org/W3159597990","https://openalex.org/W3171294772","https://openalex.org/W4232095979","https://openalex.org/W6605424934","https://openalex.org/W6610542360","https://openalex.org/W6691431627","https://openalex.org/W6752596443","https://openalex.org/W6786044271"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3204681432","https://openalex.org/W4309228610","https://openalex.org/W2318387922","https://openalex.org/W2796524599"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"to":[3,8,13,101],"develop":[4],"Machine":[5,149],"Learning":[6,147,150,195],"algorithms":[7],"classify":[9,102],"electronic":[10],"articles":[11],"related":[12],"this":[14,25,85,128,163,181],"phenomenon":[15],"by":[16,134],"retrieving":[17],"information":[18],"and":[19,42,74,96,148,155,169],"topic":[20,122],"modelling.":[21],"The":[22,48,59,87],"Methodology":[23],"of":[24,113,123,174,221],"study":[26],"is":[27],"categorized":[28],"into":[29],"three":[30],"phases:":[31],"the":[32,37,51,79,90,103,107,110,121,170,202,210,217],"Text":[33],"Classification":[34],"Approach":[35,46],"(TCA),":[36],"Proposed":[38],"Algorithms":[39],"Interpretation":[40],"(PAI),":[41],"finally,":[43],"Information":[44,124],"Retrieval":[45,125],"(IRA).":[47],"TCA":[49],"reflects":[50],"text":[52,167],"preprocessing":[53],"pipeline":[54],"called":[55],"a":[56,193],"clean":[57],"corpus.":[58],"Global":[60],"Vectors":[61],"for":[62,77,119],"Word":[63],"Representation":[64],"(Glove)":[65],"pre-trained":[66],"model,":[67],"FastText,":[68],"Term":[69],"Frequency-Inverse":[70],"Document":[71],"Frequency":[72],"(TF-IDF),":[73],"Bag-of-Words":[75],"(BOW)":[76],"extracting":[78],"features":[80],"have":[81,177,184],"been":[82,160,178,206],"interpreted":[83],"in":[84,162,180,197,216],"research.":[86,164],"PAI":[88],"manifests":[89],"Bidirectional":[91,186],"Long":[92],"Short-Term":[93],"Memory":[94],"(Bi-LSTM)":[95],"Convolutional":[97],"Neural":[98],"Network":[99],"(CNN)":[100],"COVID-19":[104],"news.":[105],"Again,":[106],"IRA":[108],"explains":[109],"mathematical":[111],"interpretation":[112],"Latent":[114],"Dirichlet":[115],"Allocation":[116],"(LDA),":[117],"obtained":[118,133],"modelling":[120],"(IR).":[126],"In":[127],"study,":[129],"99%":[130],"accuracy":[131],"was":[132],"performing":[135],"K-fold":[136],"cross-validation":[137],"on":[138,152],"Bi-LSTM":[139],"with":[140],"Glove.":[141],"A":[142],"comparative":[143],"analysis":[144],"between":[145],"Deep":[146,194],"based":[151],"feature":[153],"extraction":[154],"computational":[156],"complexity":[157],"exploration":[158],"has":[159,204],"performed":[161],"Furthermore,":[165],"some":[166],"analyses":[168],"most":[171],"influential":[172],"aspects":[173],"each":[175],"document":[176],"explored":[179],"study.":[182],"We":[183],"utilized":[185],"Encoder":[187],"Representations":[188],"from":[189],"Transformers":[190],"(BERT)":[191],"as":[192],"mechanism":[196],"our":[198],"model":[199],"training,":[200],"but":[201],"result":[203],"not":[205],"uncovered":[207],"satisfactory.":[208],"However,":[209],"proposed":[211],"system":[212],"can":[213],"be":[214],"adjustable":[215],"real-time":[218],"news":[219],"classification":[220],"COVID-19.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
