{"id":"https://openalex.org/W2980968795","doi":"https://doi.org/10.1108/ijwis-03-2019-0008","title":"A set of parameters for automatically annotating a Sentiment Arabic Corpus","display_name":"A set of parameters for automatically annotating a Sentiment Arabic Corpus","publication_year":2019,"publication_date":"2019-10-14","ids":{"openalex":"https://openalex.org/W2980968795","doi":"https://doi.org/10.1108/ijwis-03-2019-0008","mag":"2980968795"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-03-2019-0008","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-03-2019-0008","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","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/A5032944332","display_name":"Imane Guellil","orcid":"https://orcid.org/0000-0002-3858-3999"},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Guellil Imane","raw_affiliation_strings":["Laboratoire des M\u00e9thodes de Conception des Syst\u00e8mes, Ecole Nationale Sup\u00e9rieure d\u2019Informatique, Oued-Smar, Alger, Alg\u00e9rie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire des M\u00e9thodes de Conception des Syst\u00e8mes, Ecole Nationale Sup\u00e9rieure d\u2019Informatique, Oued-Smar, Alger, Alg\u00e9rie","institution_ids":["https://openalex.org/I4210149016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085426716","display_name":"Kareem Darwish","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138380","display_name":"Qatar Cardiovascular Research Center","ror":"https://ror.org/038vyt185","country_code":"QA","type":"healthcare","lineage":["https://openalex.org/I4210138380"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Darwish Kareem","raw_affiliation_strings":["Qatar Computing Research Institute (QCRI), Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute (QCRI), Doha, Qatar","institution_ids":["https://openalex.org/I4210138380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108273483","display_name":"Azouaou Faical","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Azouaou Faical","raw_affiliation_strings":["Laboratoire des M\u00e9thodes de Conception des Syst\u00e8mes, Ecole Nationale Sup\u00e9rieure d\u2019Informatique, Oued-Smar, Alger, Alg\u00e9rie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire des M\u00e9thodes de Conception des Syst\u00e8mes, Ecole Nationale Sup\u00e9rieure d\u2019Informatique, Oued-Smar, Alger, Alg\u00e9rie","institution_ids":["https://openalex.org/I4210149016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.723,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79173016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"5","first_page":"594","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10028","display_name":"Topic Modeling","score":0.9897000193595886,"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":0.9890000224113464,"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":0.8566794395446777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6965226531028748},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6828464269638062},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6504613757133484},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6485196352005005},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6441424489021301},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.5711348652839661},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.5449241399765015},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4662087857723236},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4537220299243927},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.45037969946861267},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.41472315788269043},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.2520827651023865},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08216717839241028}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8566794395446777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6965226531028748},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6828464269638062},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6504613757133484},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6485196352005005},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6441424489021301},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.5711348652839661},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.5449241399765015},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4662087857723236},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4537220299243927},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.45037969946861267},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.41472315788269043},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2520827651023865},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08216717839241028},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-03-2019-0008","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-03-2019-0008","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W194416169","https://openalex.org/W589191641","https://openalex.org/W1543461373","https://openalex.org/W1698552978","https://openalex.org/W1803479510","https://openalex.org/W1933546049","https://openalex.org/W1967012975","https://openalex.org/W1994972134","https://openalex.org/W2003989635","https://openalex.org/W2019759670","https://openalex.org/W2027232045","https://openalex.org/W2040109715","https://openalex.org/W2043287290","https://openalex.org/W2084046180","https://openalex.org/W2131744502","https://openalex.org/W2138923868","https://openalex.org/W2139511937","https://openalex.org/W2151739810","https://openalex.org/W2153579005","https://openalex.org/W2162357159","https://openalex.org/W2185547049","https://openalex.org/W2250243742","https://openalex.org/W2250594687","https://openalex.org/W2251190179","https://openalex.org/W2252085349","https://openalex.org/W2394969460","https://openalex.org/W2398594853","https://openalex.org/W2400032930","https://openalex.org/W2540218936","https://openalex.org/W2544650307","https://openalex.org/W2584262649","https://openalex.org/W2584934697","https://openalex.org/W2594612414","https://openalex.org/W2611614234","https://openalex.org/W2621048533","https://openalex.org/W2626590196","https://openalex.org/W2734322117","https://openalex.org/W2735801230","https://openalex.org/W2740130688","https://openalex.org/W2741164820","https://openalex.org/W2747566258","https://openalex.org/W2751193242","https://openalex.org/W2767369037","https://openalex.org/W2767566483","https://openalex.org/W2774660494","https://openalex.org/W2915357442","https://openalex.org/W2950962190","https://openalex.org/W3099316555","https://openalex.org/W4211260480"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W3119550360","https://openalex.org/W2975174210","https://openalex.org/W4200238620","https://openalex.org/W2244029015","https://openalex.org/W3003606604","https://openalex.org/W2287843335"],"abstract_inverted_index":{"Purpose":[0],"This":[1,17,268],"paper":[2,254],"aims":[3],"to":[4,8,23,84,102,166,211,224,244,256],"propose":[5],"an":[6,128,264],"approach":[7,72,100],"automatically":[9,85,262],"annotate":[10,86],"a":[11,40,81,87,192,200,273],"large":[12,88],"corpus":[13,18,89,110,118],"in":[14,21,60,66,184],"Arabic":[15,27],"dialect.":[16],"is":[19,39,47,73,94,119,127,255,270],"used":[20,139],"order":[22],"analyse":[24],"sentiments":[25,135],"of":[26,42,80,90,107,130,202,252],"users":[28],"on":[29,34,75,195,272],"social":[30],"medias.":[31],"It":[32],"focuses":[33],"the":[35,57,63,76,105,108,113,137,167,174,178,181,188,205,238,258],"Algerian":[36,46,91,265],"dialect,":[37],"which":[38,126],"sub-dialect":[41],"Maghrebi":[43],"Arabic.":[44],"Although":[45],"spoken":[48],"by":[49,237],"roughly":[50],"40":[51],"million":[52],"speakers,":[53],"few":[54],"studies":[55],"address":[56],"automated":[58],"processing":[59],"general":[61],"and":[62,78,151,161,170,197,220],"sentiment":[64,82,274],"analysis":[65],"specific":[67],"for":[68,187,261],"Algerian.":[69],"Design/methodology/approach":[70],"The":[71,116,156,232,249],"based":[74,271],"construction":[77],"use":[79,183],"lexicon":[83,275],"text":[92],"that":[93,159,180,276],"extracted":[95],"from":[96],"Facebook.":[97],"Using":[98,208],"this":[99,253],"allow":[101],"significantly":[103],"increase":[104],"size":[106],"training":[109,189],"without":[111],"calling":[112],"manual":[114],"annotation.":[115],"annotated":[117],"then":[120],"vectorized":[121],"using":[122,216,229],"document":[123],"embedding":[124],"(doc2vec),":[125],"extension":[129],"word":[131],"embeddings":[132],"(word2vec).":[133],"For":[134],"classification,":[136],"authors":[138,182],"different":[140],"classifiers":[141,163],"such":[142],"as":[143],"support":[144],"vector":[145],"machines":[146],"(SVM),":[147],"Naive":[148],"Bayes":[149],"(NB)":[150],"logistic":[152],"regression":[153],"(LR).":[154],"Findings":[155],"results":[157,169,214,227,234],"suggest":[158],"NB":[160,239],"SVM":[162],"generally":[164,172],"led":[165,210,223],"best":[168,206,233],"MLP":[171],"had":[173,191],"worst":[175],"results.":[176,207],"Further,":[177],"threshold":[179,201],"selecting":[185],"messages":[186],"set":[190],"noticeable":[193],"impact":[194],"recall":[196],"precision,":[198],"with":[199,241],"0.6":[203],"producing":[204],"PV-DBOW":[209,219,230],"slightly":[212,225],"higher":[213],"than":[215,228],"PV-DM.":[217],"Combining":[218],"PV-DM":[221],"representations":[222],"lower":[226],"alone.":[231],"were":[235],"obtained":[236],"classifier":[240],"F1":[242],"up":[243],"86.9":[245],"per":[246],"cent.":[247],"Originality/value":[248],"principal":[250],"originality":[251],"determine":[257],"right":[259],"parameters":[260],"annotating":[263],"dialect":[266],"corpus.":[267],"annotation":[269],"was":[277],"also":[278],"constructed":[279],"automatically.":[280]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}