{"id":"https://openalex.org/W2970475134","doi":"https://doi.org/10.1080/10919392.2019.1654350","title":"A hybrid approach for generating reputation based on opinions fusion and sentiment analysis","display_name":"A hybrid approach for generating reputation based on opinions fusion and sentiment analysis","publication_year":2019,"publication_date":"2019-08-29","ids":{"openalex":"https://openalex.org/W2970475134","doi":"https://doi.org/10.1080/10919392.2019.1654350","mag":"2970475134"},"language":"en","primary_location":{"id":"doi:10.1080/10919392.2019.1654350","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10919392.2019.1654350","pdf_url":null,"source":{"id":"https://openalex.org/S128779766","display_name":"Journal of Organizational Computing and Electronic Commerce","issn_l":"1054-1721","issn":["1054-1721","1091-9392","1532-7744"],"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 Organizational Computing and Electronic Commerce","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/A5091227632","display_name":"Abdessamad Benlahbib","orcid":"https://orcid.org/0000-0002-0039-7832"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Abdessamad Benlahbib","raw_affiliation_strings":["LIIAN Laboratory, Faculty of Sciences Dhar EL Mehraz (F.S.D.M), Sidi Mohamed Ben Abdellah University Fez, Fes-Atlas, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIIAN Laboratory, Faculty of Sciences Dhar EL Mehraz (F.S.D.M), Sidi Mohamed Ben Abdellah University Fez, Fes-Atlas, Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085575952","display_name":"El Habib Nfaoui","orcid":"https://orcid.org/0000-0002-5816-0897"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"El Habib Nfaoui","raw_affiliation_strings":["LIIAN Laboratory, Faculty of Sciences Dhar EL Mehraz (F.S.D.M), Sidi Mohamed Ben Abdellah University Fez, Fes-Atlas, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIIAN Laboratory, Faculty of Sciences Dhar EL Mehraz (F.S.D.M), Sidi Mohamed Ben Abdellah University Fez, Fes-Atlas, Morocco","institution_ids":["https://openalex.org/I81605866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091227632"],"corresponding_institution_ids":["https://openalex.org/I81605866"],"apc_list":null,"apc_paid":null,"fwci":3.6272,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94454923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"30","issue":"1","first_page":"9","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T11644","display_name":"Spam and Phishing Detection","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10028","display_name":"Topic Modeling","score":0.9879999756813049,"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/reputation","display_name":"Reputation","score":0.8927452564239502},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8205520510673523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575114965438843},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.579054057598114},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5631262063980103},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5599192380905151},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5020971298217773},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.447511225938797},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.4404706656932831},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4148719906806946},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38688424229621887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3828091025352478},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3516695499420166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32034170627593994},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15869492292404175},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1383262276649475}],"concepts":[{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.8927452564239502},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8205520510673523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575114965438843},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.579054057598114},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5631262063980103},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5599192380905151},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5020971298217773},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.447511225938797},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.4404706656932831},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4148719906806946},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38688424229621887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3828091025352478},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3516695499420166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32034170627593994},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15869492292404175},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1383262276649475},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10919392.2019.1654350","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10919392.2019.1654350","pdf_url":null,"source":{"id":"https://openalex.org/S128779766","display_name":"Journal of Organizational Computing and Electronic Commerce","issn_l":"1054-1721","issn":["1054-1721","1091-9392","1532-7744"],"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 Organizational Computing and Electronic Commerce","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":33,"referenced_works":["https://openalex.org/W1410460","https://openalex.org/W1532425657","https://openalex.org/W1567365482","https://openalex.org/W1963486426","https://openalex.org/W1981498954","https://openalex.org/W1990620364","https://openalex.org/W2029772115","https://openalex.org/W2081580037","https://openalex.org/W2090513801","https://openalex.org/W2097726984","https://openalex.org/W2114524997","https://openalex.org/W2123367805","https://openalex.org/W2146338426","https://openalex.org/W2155328222","https://openalex.org/W2160660844","https://openalex.org/W2166706824","https://openalex.org/W2220660951","https://openalex.org/W2295653402","https://openalex.org/W2306941105","https://openalex.org/W2399618090","https://openalex.org/W2427312199","https://openalex.org/W2499476313","https://openalex.org/W2548006041","https://openalex.org/W2556427464","https://openalex.org/W2560654344","https://openalex.org/W2562607067","https://openalex.org/W2616785165","https://openalex.org/W2617693680","https://openalex.org/W2787037604","https://openalex.org/W2790422156","https://openalex.org/W2954278700","https://openalex.org/W4239582622","https://openalex.org/W6678923525"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2388687352","https://openalex.org/W3021501837"],"abstract_inverted_index":{"Amazon,":[0],"eBay,":[1],"IMDb":[2],"as":[3,5],"well":[4],"several":[6],"websites":[7],"provide":[8],"a":[9,37,45,48,84,112,158,191],"convenient":[10],"platform":[11],"where":[12],"users":[13],"share":[14],"their":[15,125,153],"opinions":[16,24,99],"on":[17,95,124,152],"any":[18],"entities":[19],"without":[20],"hindrance.":[21],"Though":[22],"those":[23],"are":[25],"too":[26],"many":[27],"to":[28,82,196],"be":[29],"examined":[30],"one":[31],"by":[32,128,168],"one,":[33],"this":[34],"is":[35],"why":[36],"general":[38],"reputation":[39,58,66,93,160,182],"value":[40,161,183],"will":[41,68],"help":[42],"people":[43],"make":[44],"decision":[46],"toward":[47],"target":[49,77],"entity":[50],"(purchase,":[51],"download,":[52],"rent":[53],"\u2026).":[54],"This":[55,79],"fact":[56],"makes":[57],"generation":[59],"task":[60,90],"very":[61],"challenging":[62],"because":[63],"an":[64],"inaccurate":[65],"system":[67],"directly":[69],"damage":[70],"the":[71,76,89,130,180],"credibility":[72],"and":[73,97,104,121,135,144,165,176],"popularity":[74],"of":[75,91,172],"entity.":[78],"paper":[80],"aims":[81],"improve":[83],"recent":[85,197],"work":[86],"that":[87],"handles":[88],"generating":[92],"based":[94,123,151],"fuzing":[96],"mining":[98],"expressed":[100],"in":[101],"natural":[102],"languages":[103],"user":[105],"feedback":[106],"ratings.":[107],"Therefore,":[108],"we":[109],"have":[110],"proposed":[111],"hybrid":[113],"approach":[114],"that,":[115],"(i)":[116],"separates":[117],"reviews":[118,146],"into":[119,147],"positive":[120,143,164],"negative":[122,145,166],"sentiment":[126],"polarity":[127],"applying":[129],"two":[131],"classifiers":[132],"Na\u00efve":[133],"Bayes":[134],"Linear":[136],"Support":[137],"Vector":[138],"Machine":[139],"(LSVM),":[140],"(ii)":[141],"groups":[142,167],"principal":[148,173],"opinion":[149,174],"sets":[150,175],"semantic":[154],"relations,":[155],"(iii)":[156],"calculates":[157],"custom":[159],"separately":[162],"for":[163],"considering":[169],"some":[170],"statistics":[171],"finally":[177],"(iv)":[178],"computes":[179],"final":[181],"using":[184],"Weighted":[185],"Arithmetic":[186],"Mean.":[187],"Experimental":[188],"results":[189],"show":[190],"significant":[192],"improvement":[193],"with":[194],"respect":[195],"work.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}