{"id":"https://openalex.org/W2951925285","doi":"https://doi.org/10.1109/access.2019.2924314","title":"Surface and Deep Features Ensemble for Sentiment Analysis of Arabic Tweets","display_name":"Surface and Deep Features Ensemble for Sentiment Analysis of Arabic Tweets","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951925285","doi":"https://doi.org/10.1109/access.2019.2924314","mag":"2951925285"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2924314","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924314","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08743359.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08743359.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027267621","display_name":"Nora Al-Twairesh","orcid":"https://orcid.org/0000-0001-9829-4956"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Nora Al-Twairesh","raw_affiliation_strings":["College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-9829-4956","affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030329940","display_name":"Hadeel Al-Negheimish","orcid":null},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hadeel Al-Negheimish","raw_affiliation_strings":["College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027267621"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.5493,"has_fulltext":true,"cited_by_count":87,"citation_normalized_percentile":{"value":0.97734918,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"84122","last_page":"84131"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9976999759674072,"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":0.9961000084877014,"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":0.7123799324035645},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.7036083340644836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6110762357711792},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6014689803123474},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5973395109176636},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.320629745721817},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12414300441741943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123799324035645},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.7036083340644836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6110762357711792},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6014689803123474},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5973395109176636},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.320629745721817},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12414300441741943},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2924314","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924314","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08743359.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2f29190e40974ddc8500a1e76bbe80dd","is_oa":true,"landing_page_url":"https://doaj.org/article/2f29190e40974ddc8500a1e76bbe80dd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 84122-84131 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2924314","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2924314","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08743359.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G8454370407","display_name":null,"funder_award_id":"R17-03-69","funder_id":"https://openalex.org/F4320321145","funder_display_name":"King Saud University"}],"funders":[{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951925285.pdf","grobid_xml":"https://content.openalex.org/works/W2951925285.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W766476750","https://openalex.org/W1589554437","https://openalex.org/W2022204871","https://openalex.org/W2043287290","https://openalex.org/W2101234009","https://openalex.org/W2118585731","https://openalex.org/W2124752409","https://openalex.org/W2154444445","https://openalex.org/W2158899491","https://openalex.org/W2160660844","https://openalex.org/W2162357159","https://openalex.org/W2166706824","https://openalex.org/W2168681026","https://openalex.org/W2242874043","https://openalex.org/W2250243742","https://openalex.org/W2250539671","https://openalex.org/W2250594687","https://openalex.org/W2250879510","https://openalex.org/W2252067416","https://openalex.org/W2252215182","https://openalex.org/W2296071000","https://openalex.org/W2460474657","https://openalex.org/W2467186984","https://openalex.org/W2469552799","https://openalex.org/W2473593971","https://openalex.org/W2493916176","https://openalex.org/W2506633516","https://openalex.org/W2516105622","https://openalex.org/W2536583325","https://openalex.org/W2556605533","https://openalex.org/W2571253853","https://openalex.org/W2574075017","https://openalex.org/W2584429674","https://openalex.org/W2584934697","https://openalex.org/W2626590196","https://openalex.org/W2735966564","https://openalex.org/W2750747353","https://openalex.org/W2767299343","https://openalex.org/W2767566483","https://openalex.org/W2767784948","https://openalex.org/W2768163028","https://openalex.org/W2770568736","https://openalex.org/W2776249353","https://openalex.org/W2781487490","https://openalex.org/W2781664944","https://openalex.org/W2801011252","https://openalex.org/W2804438185","https://openalex.org/W2830133505","https://openalex.org/W2832139998","https://openalex.org/W2890269216","https://openalex.org/W2896457183","https://openalex.org/W2916132663","https://openalex.org/W2944780533","https://openalex.org/W2949709688","https://openalex.org/W2949998441","https://openalex.org/W2952230511","https://openalex.org/W2963119602","https://openalex.org/W2963341956","https://openalex.org/W2963874170","https://openalex.org/W2964323432","https://openalex.org/W3102444842","https://openalex.org/W3152231500","https://openalex.org/W4233906183","https://openalex.org/W4294170691","https://openalex.org/W6635364467","https://openalex.org/W6675354045","https://openalex.org/W6677656871","https://openalex.org/W6682691769","https://openalex.org/W6683621887","https://openalex.org/W6683738474","https://openalex.org/W6697121895","https://openalex.org/W6720991687","https://openalex.org/W6732185576","https://openalex.org/W6752955386","https://openalex.org/W6755207826","https://openalex.org/W6764146914"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1],"(SA)":[2],"of":[3,15,23,32,59,66,102,135,161,163,174,207],"Arabic":[4,17,84,91,164,175],"tweets":[5,33,85],"is":[6,155,204],"a":[7,98,188],"complex":[8],"task":[9,160],"due":[10],"to":[11,78,131],"the":[12,16,20,30,41,63,70,90,115,133,136,159,180,192,200,205,214,217],"rich":[13],"morphology":[14],"language":[18,24,151],"and":[19,86,104,114,122,138,146,177,209,212],"informal":[21],"nature":[22],"on":[25,29,36,158,170,183,220],"Twitter.":[26],"Previous":[27],"research":[28],"SA":[31,162],"mainly":[34],"focused":[35],"manually":[37,111],"extracting":[38],"features":[39,109,117,140,211],"from":[40,83],"text.":[42],"Recently,":[43],"neural":[44],"word":[45,81,120,124],"embeddings":[46,82,121,144],"have":[47],"been":[48],"utilized":[49],"as":[50],"less":[51],"labor-intensive":[52],"representations":[53],"than":[54],"manual":[55],"feature":[56,99],"engineering.":[57],"Most":[58],"these":[60,185],"word-embeddings":[61],"model":[62,101,153,203],"syntactic":[64],"information":[65],"words":[67],"while":[68],"ignoring":[69],"sentiment":[71,93],"context.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,96],"propose":[77,97],"learn":[79],"sentiment-specific":[80,123],"use":[87],"them":[88],"in":[89,191],"Twitter":[92],"classification.":[94],"Moreover,":[95],"ensemble":[100,206],"surface":[103,108,137,208],"deep":[105,116,139,210],"features.":[106],"The":[107,126,149,166,194],"are":[110,118,129,168],"extracted":[112],"features,":[113],"generic":[119],"embeddings.":[125],"extensive":[127],"experiments":[128],"performed":[130],"test":[132],"effectiveness":[134],"ensemble,":[141],"pooling":[142],"functions,":[143],"size,":[145],"cross-dataset":[147],"models.":[148],"recent":[150],"representation":[152],"BERT":[154],"also":[156],"evaluated":[157,169],"tweets.":[165],"models":[167],"three":[171],"different":[172],"datasets":[173,186],"tweets,":[176],"they":[178],"outperform":[179],"previous":[181],"results":[182,196,219],"all":[184],"with":[187],"significant":[189],"increase":[190],"F-score.":[193],"experimental":[195],"demonstrate":[197],"that:":[198],"1)":[199],"highest":[201],"performing":[202],"2)":[213],"approach":[215],"achieves":[216],"state-of-the-art":[218],"several":[221],"benchmarking":[222],"datasets.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":8}],"updated_date":"2026-05-11T08:15:01.531666","created_date":"2025-10-10T00:00:00"}
