{"id":"https://openalex.org/W2045302258","doi":"https://doi.org/10.1145/2668260.2668281","title":"Role of Emotion icons in Sentiment classification of Arabic Tweets","display_name":"Role of Emotion icons in Sentiment classification of Arabic Tweets","publication_year":2014,"publication_date":"2014-09-15","ids":{"openalex":"https://openalex.org/W2045302258","doi":"https://doi.org/10.1145/2668260.2668281","mag":"2045302258"},"language":"en","primary_location":{"id":"doi:10.1145/2668260.2668281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2668260.2668281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Management of Emergent Digital EcoSystems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013248480","display_name":"Salha Al-Osaimi","orcid":null},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Salha Al-Osaimi","raw_affiliation_strings":["Dept. of Information Systems, Imam Muhammad ibn Saud Islamic university, Riyadh, KSA","Dept. of Information Systems, Imam Muhammad ibn Saud Islamic university, Riyadh, KSA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Systems, Imam Muhammad ibn Saud Islamic university, Riyadh, KSA","institution_ids":["https://openalex.org/I240666556"]},{"raw_affiliation_string":"Dept. of Information Systems, Imam Muhammad ibn Saud Islamic university, Riyadh, KSA#TAB#","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054301764","display_name":"Khan Muhammad Badruddin","orcid":null},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Khan Muhammad Badruddin","raw_affiliation_strings":["Dept. of Information Systems, Imam Muhammad ibn Saud Islamic university, Riyadh, KSA","Dept. of Information Systems, Imam Muhammad ibn Saud Islamic university, Riyadh, KSA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Systems, Imam Muhammad ibn Saud Islamic university, Riyadh, KSA","institution_ids":["https://openalex.org/I240666556"]},{"raw_affiliation_string":"Dept. of Information Systems, Imam Muhammad ibn Saud Islamic university, Riyadh, KSA#TAB#","institution_ids":["https://openalex.org/I240666556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I240666556"],"apc_list":null,"apc_paid":null,"fwci":1.2406,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81295036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"171"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9970999956130981,"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":0.9937999844551086,"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/arabic","display_name":"Arabic","score":0.8061915636062622},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7545380592346191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6882609724998474},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.578568160533905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4978604316711426},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.41279900074005127},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.26433315873146057},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.21252000331878662}],"concepts":[{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.8061915636062622},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7545380592346191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6882609724998474},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.578568160533905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4978604316711426},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.41279900074005127},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.26433315873146057},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.21252000331878662},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2668260.2668281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2668260.2668281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Management of Emergent Digital EcoSystems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W154158788","https://openalex.org/W1743243001","https://openalex.org/W2027232045","https://openalex.org/W2039262892","https://openalex.org/W2088394786","https://openalex.org/W2096574891","https://openalex.org/W2124156373","https://openalex.org/W2137981452","https://openalex.org/W2143934623","https://openalex.org/W2146549277","https://openalex.org/W2151739810","https://openalex.org/W2160969591","https://openalex.org/W2252085349","https://openalex.org/W2377254088","https://openalex.org/W2394699733","https://openalex.org/W2968767399","https://openalex.org/W3147292827","https://openalex.org/W4254373586","https://openalex.org/W6637805623"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2288974521","https://openalex.org/W2767246187","https://openalex.org/W4293071540","https://openalex.org/W4301311969","https://openalex.org/W4281904752","https://openalex.org/W3081766916","https://openalex.org/W3015597294","https://openalex.org/W2250245759","https://openalex.org/W2104937263"],"abstract_inverted_index":{"In":[0,80],"recent":[1],"years,":[2],"there":[3],"is":[4,25,39,51],"enormous":[5],"increase":[6],"of":[7,13,20,41,45,65,121,135],"data":[8],"content":[9],"due":[10],"to":[11,29,53,76,88],"emergence":[12],"social":[14,68],"media":[15,69],"platforms":[16],"in":[17,115,119,131],"digital":[18],"word":[19],"internet.":[21],"The":[22,48],"text":[23,46,56],"mining":[24],"very":[26],"important":[27,43],"technique":[28],"discover":[30],"the":[31,42,55,63,116,133],"knowledge":[32],"from":[33],"unstructured":[34],"data.":[35],"Automatic":[36],"sentiment":[37,49],"analysis":[38,50],"one":[40],"applications":[44],"mining.":[47],"used":[52],"predict":[54,89],"polarity":[57],"(positive,":[58],"negative,":[59],"and":[60],"neutral).":[61],"Furthermore,":[62],"most":[64],"users":[66],"using":[67],"such":[70],"as":[71,99],"Twitter":[72],"use":[73],"informal":[74,92],"language":[75],"express":[77],"their":[78],"opinions.":[79],"this":[81],"paper,":[82],"we":[83],"propose":[84],"an":[85],"automatic":[86],"approach":[87],"sentiments":[90,134],"for":[91,101],"Arabic":[93,97],"language.":[94],"We":[95,104],"chose":[96],"tweets":[98,117],"input":[100],"our":[102,107],"study.":[103],"observed":[105],"through":[106],"experiment":[108],"results":[109],"that":[110],"although":[111],"emotion":[112],"icons":[113],"presence":[114],"helps":[118],"development":[120],"comparatively":[122],"more":[123],"accurate":[124],"classifier,":[125],"however":[126],"they":[127],"play":[128],"ambiguous":[129],"role":[130],"defining":[132],"tweets.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}