{"id":"https://openalex.org/W2910941296","doi":"https://doi.org/10.1109/aiccsa.2018.8612804","title":"Sentiment Analysis for Arabic Text using Ensemble Learning","display_name":"Sentiment Analysis for Arabic Text using Ensemble Learning","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910941296","doi":"https://doi.org/10.1109/aiccsa.2018.8612804","mag":"2910941296"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2018.8612804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2018.8612804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-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/A5032897895","display_name":"Samar Al-Saqqa","orcid":"https://orcid.org/0000-0001-5274-6005"},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Samar Al-Saqqa","raw_affiliation_strings":["Princess Sumaya University for Technology, Amman, JO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princess Sumaya University for Technology, Amman, JO","institution_ids":["https://openalex.org/I158749337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000391092","display_name":"Nadim Obeid","orcid":"https://orcid.org/0000-0001-9218-0923"},"institutions":[{"id":"https://openalex.org/I114972647","display_name":"University of Jordan","ror":"https://ror.org/05k89ew48","country_code":"JO","type":"education","lineage":["https://openalex.org/I114972647"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Nadim Obeid","raw_affiliation_strings":["King Abdullah II School for IT The University of Jordan, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah II School for IT The University of Jordan, Amman, Jordan","institution_ids":["https://openalex.org/I114972647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062695565","display_name":"Arafat Awajan","orcid":"https://orcid.org/0000-0002-7067-5658"},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Arafat Awajan","raw_affiliation_strings":["Department of Computer Science, Princess Sumaya University for Technology, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Princess Sumaya University for Technology, Amman, Jordan","institution_ids":["https://openalex.org/I158749337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8585,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89403844,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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":0.9994000196456909,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9973999857902527,"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":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bigram","display_name":"Bigram","score":0.9148780107498169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8223795294761658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7751995325088501},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6940226554870605},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6462720632553101},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.6139706969261169},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6072667837142944},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5864458084106445},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5497848391532898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5123330354690552},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.4972594082355499},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.48800602555274963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48408520221710205},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.46051159501075745},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.4466276466846466},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44187667965888977},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4177439212799072}],"concepts":[{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.9148780107498169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8223795294761658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7751995325088501},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6940226554870605},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6462720632553101},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.6139706969261169},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6072667837142944},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5864458084106445},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5497848391532898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5123330354690552},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.4972594082355499},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.48800602555274963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48408520221710205},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.46051159501075745},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.4466276466846466},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44187667965888977},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4177439212799072},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2018.8612804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2018.8612804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W92860568","https://openalex.org/W1493162876","https://openalex.org/W1504694836","https://openalex.org/W1517678168","https://openalex.org/W2003303386","https://openalex.org/W2019759670","https://openalex.org/W2021137987","https://openalex.org/W2034090215","https://openalex.org/W2043287290","https://openalex.org/W2047308542","https://openalex.org/W2063669924","https://openalex.org/W2125055259","https://openalex.org/W2126581182","https://openalex.org/W2137981452","https://openalex.org/W2138923868","https://openalex.org/W2143902425","https://openalex.org/W2151739810","https://openalex.org/W2160969591","https://openalex.org/W2166706824","https://openalex.org/W2250594687","https://openalex.org/W2293441282","https://openalex.org/W2395334507","https://openalex.org/W2553002154","https://openalex.org/W2585528949","https://openalex.org/W2737990573","https://openalex.org/W6662769066","https://openalex.org/W6712155711","https://openalex.org/W6741688944","https://openalex.org/W7052461017"],"related_works":["https://openalex.org/W2046975922","https://openalex.org/W1933712933","https://openalex.org/W2057416691","https://openalex.org/W4256395896","https://openalex.org/W2743555903","https://openalex.org/W2968660735","https://openalex.org/W2083259201","https://openalex.org/W2137567908","https://openalex.org/W3080944905","https://openalex.org/W2905430408"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"ensemble":[4,72,127],"of":[5,17,48,64,117,128,155,164],"machine":[6,145],"learning":[7],"classifiers":[8,50,55,130],"approach":[9,21],"is":[10,22,67],"used":[11,93],"to":[12,71,81],"classify":[13],"the":[14,25,104,112,126,129,142,148,153,156,162,165],"sentiment":[15],"polarity":[16],"Arabic":[18,109,118],"text.":[19],"This":[20],"based":[23],"on":[24],"majority":[26],"voting":[27,60,73],"algorithm":[28],"in":[29,94],"conjunction":[30],"with":[31,89],"four":[32],"classifiers,":[33],"namely":[34],"Naive":[35],"Bayes,":[36],"Support":[37],"Vector":[38],"Machines,":[39],"Decision":[40],"Trees":[41],"and":[42,53,69,84,111],"K-Nearest":[43],"Neighbor":[44],"algorithms.":[45],"Four":[46],"combinations":[47],"these":[49],"are":[51,56,92,159],"formed":[52],"three":[54],"chosen":[57],"for":[58],"each":[59,65],"combination.":[61],"The":[62,97,121],"performance":[63],"classifier":[66,146],"evaluated":[68],"compared":[70],"combination":[74],"performance.":[75],"Different":[76],"experiments":[77],"have":[78],"been":[79],"performed":[80],"evaluate":[82],"unigram":[83,166],"bigram":[85,157],"features.":[86],"Three":[87],"datasets":[88],"different":[90],"sizes":[91],"our":[95],"experiments.":[96],"first":[98],"dataset":[99],"contains":[100,107,115],"500":[101],"movie":[102],"reviews,":[103],"second":[105],"one":[106,114],"2000":[108],"tweets":[110],"third":[113],"16448":[116],"book":[119],"reviews.":[120],"experimental":[122],"results":[123,134,154,163],"show":[124],"that":[125,141],"comparatively":[131],"gives":[132],"better":[133,160],"than":[135,161],"individual":[136,150],"classifiers.":[137,151],"They":[138],"also":[139],"reveal":[140],"support":[143],"vector":[144],"outperforms":[147],"other":[149],"Moreover,":[152],"feature":[158],"feature.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}