{"id":"https://openalex.org/W3117516462","doi":"https://doi.org/10.1109/iit50501.2020.9299026","title":"Aspect-Based Sentiment Analysis of Arabic Tweets in the Education Sector Using a Hybrid Feature Selection Method","display_name":"Aspect-Based Sentiment Analysis of Arabic Tweets in the Education Sector Using a Hybrid Feature Selection Method","publication_year":2020,"publication_date":"2020-11-17","ids":{"openalex":"https://openalex.org/W3117516462","doi":"https://doi.org/10.1109/iit50501.2020.9299026","mag":"3117516462"},"language":"en","primary_location":{"id":"doi:10.1109/iit50501.2020.9299026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iit50501.2020.9299026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Innovations in Information Technology (IIT)","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/A5077746342","display_name":"Manar Alassaf","orcid":null},"institutions":[{"id":"https://openalex.org/I156216236","display_name":"Qassim University","ror":"https://ror.org/01wsfe280","country_code":"SA","type":"education","lineage":["https://openalex.org/I156216236"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Manar Alassaf","raw_affiliation_strings":["Department of Computer Science, College of Computer Qassim University, Buraydah, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computer Qassim University, Buraydah, Saudi Arabia","institution_ids":["https://openalex.org/I156216236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010508766","display_name":"Ali Mustafa Qamar","orcid":"https://orcid.org/0000-0002-5323-6661"},"institutions":[{"id":"https://openalex.org/I156216236","display_name":"Qassim University","ror":"https://ror.org/01wsfe280","country_code":"SA","type":"education","lineage":["https://openalex.org/I156216236"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ali Mustafa Qamar","raw_affiliation_strings":["Department of Computer Science, College of Computer Qassim University, Buraydah, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computer Qassim University, Buraydah, Saudi Arabia","institution_ids":["https://openalex.org/I156216236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I156216236"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"178","last_page":"185"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.995199978351593,"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":0.9929999709129333,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.7860075235366821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7523833513259888},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.738764226436615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6497451066970825},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6156232357025146},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5642619132995605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4743560552597046},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33183661103248596}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7860075235366821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523833513259888},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.738764226436615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6497451066970825},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6156232357025146},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5642619132995605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4743560552597046},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33183661103248596}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iit50501.2020.9299026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iit50501.2020.9299026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Innovations in Information Technology (IIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"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":29,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1944128481","https://openalex.org/W2008434289","https://openalex.org/W2086093608","https://openalex.org/W2093206080","https://openalex.org/W2185735639","https://openalex.org/W2220294191","https://openalex.org/W2223699612","https://openalex.org/W2293030704","https://openalex.org/W2342475167","https://openalex.org/W2435251607","https://openalex.org/W2465978385","https://openalex.org/W2515922379","https://openalex.org/W2572114137","https://openalex.org/W2576409085","https://openalex.org/W2578118850","https://openalex.org/W2588176795","https://openalex.org/W2787956672","https://openalex.org/W2794259165","https://openalex.org/W2889278889","https://openalex.org/W4211186029","https://openalex.org/W4255455317","https://openalex.org/W4289492418","https://openalex.org/W4293568340","https://openalex.org/W6690704388","https://openalex.org/W6696916215","https://openalex.org/W6717827561","https://openalex.org/W6732324165","https://openalex.org/W6755050982"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W3195168932","https://openalex.org/W1996541855","https://openalex.org/W3192794374","https://openalex.org/W4288767684","https://openalex.org/W4362613237","https://openalex.org/W4293525103","https://openalex.org/W3034132578","https://openalex.org/W2767332506","https://openalex.org/W3200179079"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,33,126,142],"can":[2],"be":[3],"applied":[4],"in":[5,13,75,119,205],"many":[6,50],"domains":[7],"given":[8],"the":[9,17,79,83,91,101,104,110,121,129,147,155,160,166,175,178,185,197,202],"abundance":[10],"of":[11,49,103,112,123,131,139,143,162,177],"views":[12],"social":[14],"networks,":[15],"including":[16],"education":[18],"sector,":[19],"reflecting":[20],"how":[21],"cultures":[22],"and":[23,26,41,55,90,152,154],"nations":[24],"grow":[25],"develop.":[27],"In":[28,57,78],"this":[29,58,98],"context,":[30],"aspect-based":[31,124],"sentiment":[32,125],"with":[34],"its":[35],"two":[36],"main":[37],"tasks;":[38],"aspect":[39],"detection":[40],"aspect-opinion":[42],"classification,":[43],"might":[44],"provide":[45],"an":[46],"accurate":[47],"picture":[48],"educational":[51],"institutions":[52],"'":[53],"strengths":[54],"weaknesses.":[56],"research,":[59],"a":[60,114,140],"real-world":[61],"Twitter":[62],"dataset":[63],"was":[64],"collected,":[65],"containing":[66],"approximately":[67],"7,934":[68],"Arabic":[69],"tweets":[70],"related":[71],"to":[72,96,108,145,173],"Qassim":[73],"University":[74],"Saudi":[76],"Arabia.":[77],"text":[80],"classification":[81],"task,":[82],"high":[84],"dimensionality":[85],"problem":[86],"is":[87,107],"usually":[88],"faced,":[89],"feature":[92,116,136,151,180],"selection":[93,117,181],"methods":[94],"contribute":[95],"tackling":[97],"problem.":[99],"Accordingly,":[100],"purpose":[102],"experimental":[105,193],"study":[106,174],"investigate":[109],"effectiveness":[111],"using":[113],"hybrid":[115,135,198],"method":[118,137,182,199],"improving":[120,184],"results":[122,194],"by":[127],"reducing":[128],"number":[130],"features.":[132],"The":[133,192],"proposed":[134,179],"consists":[138],"one-way":[141],"variance":[144],"examine":[146],"relationship":[148],"between":[149],"each":[150],"classes,":[153],"ridge":[156],"regression":[157],"that":[158,196],"calculates":[159],"importance":[161],"features":[163],"together":[164],"during":[165],"learning":[167],"phase.":[168],"Several":[169],"experiments":[170],"were":[171],"conducted":[172],"effects":[176],"on":[183],"Support":[186],"Vector":[187],"Machine":[188],"classifier":[189],"'s":[190],"performance.":[191],"demonstrate":[195],"successfully":[200],"enhances":[201],"classifier's":[203],"performance":[204],"both":[206],"subtasks.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}