{"id":"https://openalex.org/W3128040819","doi":"https://doi.org/10.1109/snams52053.2020.9336535","title":"Sensitivity of Arabic Sentiment Analysis Tools","display_name":"Sensitivity of Arabic Sentiment Analysis Tools","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3128040819","doi":"https://doi.org/10.1109/snams52053.2020.9336535","mag":"3128040819"},"language":"en","primary_location":{"id":"doi:10.1109/snams52053.2020.9336535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams52053.2020.9336535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)","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/A5102071744","display_name":"Brian Conlon","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian Conlon","raw_affiliation_strings":["University of Notre Dame"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055783862","display_name":"Paul Brenner","orcid":"https://orcid.org/0000-0002-2568-9786"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Brenner","raw_affiliation_strings":["University of Notre Dame"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102071744"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57982424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"6"},"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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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":0.9986000061035156,"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/polarity","display_name":"Polarity (international relations)","score":0.8279337882995605},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.7628113031387329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7582951188087463},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7437217235565186},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6522420644760132},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5913206338882446},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5682353973388672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5350263118743896},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18797904253005981},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08820664882659912}],"concepts":[{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.8279337882995605},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.7628113031387329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582951188087463},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7437217235565186},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6522420644760132},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5913206338882446},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5682353973388672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5350263118743896},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18797904253005981},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08820664882659912},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snams52053.2020.9336535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams52053.2020.9336535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6800000071525574,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2057110230","display_name":null,"funder_award_id":"N00014-19-S-F009","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W29922207","https://openalex.org/W137989762","https://openalex.org/W2037789405","https://openalex.org/W2043287290","https://openalex.org/W2099813784","https://openalex.org/W2123442489","https://openalex.org/W2133012565","https://openalex.org/W2162357159","https://openalex.org/W2250594687","https://openalex.org/W2295710275","https://openalex.org/W2394969460","https://openalex.org/W2411190207","https://openalex.org/W2543714959","https://openalex.org/W2562238432","https://openalex.org/W2617702252","https://openalex.org/W2621048533","https://openalex.org/W2737990573","https://openalex.org/W2751193242","https://openalex.org/W2767299343","https://openalex.org/W2805744755","https://openalex.org/W2806514226","https://openalex.org/W2892061765","https://openalex.org/W2896457183","https://openalex.org/W2902179503","https://openalex.org/W2914220664","https://openalex.org/W2916132663","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2964325543","https://openalex.org/W2964573145","https://openalex.org/W2970814728","https://openalex.org/W2978321228","https://openalex.org/W2998313748","https://openalex.org/W3004283970","https://openalex.org/W3006428773","https://openalex.org/W3008110149","https://openalex.org/W3082274269","https://openalex.org/W3082811123","https://openalex.org/W3088592174","https://openalex.org/W3088774333","https://openalex.org/W3143635792","https://openalex.org/W4288089799","https://openalex.org/W4297663785","https://openalex.org/W4301188379","https://openalex.org/W6605563572","https://openalex.org/W6683621887","https://openalex.org/W6714775741","https://openalex.org/W6741688944","https://openalex.org/W6755207826","https://openalex.org/W6758919456","https://openalex.org/W6769627184","https://openalex.org/W6774526564","https://openalex.org/W7066990553"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2400337198","https://openalex.org/W2354902965","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W1984947604"],"abstract_inverted_index":{"While":[0,77],"the":[1,12,30,35,45,60,71,100,115,118],"accuracy":[2,13,42,51],"of":[3,29,59,117],"Arabic":[4,36],"text":[5,109],"sentiment":[6,87],"analysis":[7],"tools":[8,19,64,105],"continues":[9,14],"to":[10,15,40,91,98,102,107],"improve,":[11],"lag":[16,43],"behind":[17],"similar":[18],"for":[20,69,86],"Latin-based":[21],"languages.":[22,54],"In":[23],"this":[24,41],"work":[25],"we":[26,89],"review":[27],"some":[28,58],"unique":[31],"challenges":[32],"inherent":[33],"in":[34,52,73],"language":[37],"that":[38],"contribute":[39],"beyond":[44],"scale-based":[46],"economic":[47],"drivers":[48],"propelling":[49],"enhanced":[50],"other":[53],"We":[55],"then":[56],"identify":[57],"most":[61],"promising":[62],"new":[63],"and":[65,75],"provide":[66,92],"a":[67,82,93],"framework":[68],"evaluating":[70],"differences":[72],"sensitivity":[74],"polarity.":[76],"there":[78],"is":[79],"not":[80],"yet":[81],"universal":[83],"standard":[84],"scale":[85],"polarity,":[88],"attempt":[90],"normalized":[94],"basis":[95],"upon":[96],"which":[97,103],"compare":[99],"degree":[101],"various":[104],"tend":[106],"classify":[108],"segments":[110],"toward":[111],"either":[112],"end":[113],"(or":[114],"middle)":[116],"polarity":[119],"spectrum.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}