{"id":"https://openalex.org/W4404294723","doi":"https://doi.org/10.1109/m2vip62491.2024.10746051","title":"Hybrid Sentiment Analysis Model for Outlier Opinion Mining in Cross-Domain Applications","display_name":"Hybrid Sentiment Analysis Model for Outlier Opinion Mining in Cross-Domain Applications","publication_year":2024,"publication_date":"2024-10-03","ids":{"openalex":"https://openalex.org/W4404294723","doi":"https://doi.org/10.1109/m2vip62491.2024.10746051"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip62491.2024.10746051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10746051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5101430661","display_name":"Mohammad Abrar","orcid":"https://orcid.org/0000-0003-2585-0573"},"institutions":[{"id":"https://openalex.org/I124391630","display_name":"Arab Open University","ror":"https://ror.org/04dqhen73","country_code":"OM","type":"education","lineage":["https://openalex.org/I124391630","https://openalex.org/I4210093932"]}],"countries":["OM"],"is_corresponding":true,"raw_author_name":"Mohammad Abrar","raw_affiliation_strings":["Arab Open University,Faculty of Computer Studies,Muscat,Oman,130"],"affiliations":[{"raw_affiliation_string":"Arab Open University,Faculty of Computer Studies,Muscat,Oman,130","institution_ids":["https://openalex.org/I124391630"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057607344","display_name":"Laila A. Abd-Elmegid","orcid":"https://orcid.org/0000-0002-8064-8530"},"institutions":[{"id":"https://openalex.org/I124391630","display_name":"Arab Open University","ror":"https://ror.org/04dqhen73","country_code":"OM","type":"education","lineage":["https://openalex.org/I124391630","https://openalex.org/I4210093932"]}],"countries":["OM"],"is_corresponding":false,"raw_author_name":"Laila Abd-Ellatif Abd-Elmegid","raw_affiliation_strings":["Arab Open University,Faculty of Computer Studies,Muscat,Oman,130"],"affiliations":[{"raw_affiliation_string":"Arab Open University,Faculty of Computer Studies,Muscat,Oman,130","institution_ids":["https://openalex.org/I124391630"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036811887","display_name":"Alaa A. K. Ismaeel","orcid":"https://orcid.org/0000-0002-0271-0722"},"institutions":[{"id":"https://openalex.org/I124391630","display_name":"Arab Open University","ror":"https://ror.org/04dqhen73","country_code":"OM","type":"education","lineage":["https://openalex.org/I124391630","https://openalex.org/I4210093932"]}],"countries":["OM"],"is_corresponding":false,"raw_author_name":"Alaa A. K. Ismaeel","raw_affiliation_strings":["Arab Open University,Faculty of Computer Studies,Muscat,Oman,130"],"affiliations":[{"raw_affiliation_string":"Arab Open University,Faculty of Computer Studies,Muscat,Oman,130","institution_ids":["https://openalex.org/I124391630"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101430661"],"corresponding_institution_ids":["https://openalex.org/I124391630"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1821308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.953000009059906,"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":0.953000009059906,"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":0.7716856002807617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7239188551902771},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6129472255706787},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5182135701179504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46518105268478394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.370597243309021},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3567155599594116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06947347521781921}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7716856002807617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239188551902771},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6129472255706787},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5182135701179504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46518105268478394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.370597243309021},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3567155599594116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06947347521781921},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip62491.2024.10746051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10746051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310577","display_name":"Open University","ror":"https://ror.org/05mzfcs16"},{"id":"https://openalex.org/F4320321147","display_name":"Ministry of Higher Education","ror":"https://ror.org/0512bh102"},{"id":"https://openalex.org/F4320322887","display_name":"The Research Council","ror":"https://ror.org/03tcppy59"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2215376118","https://openalex.org/W2468627062","https://openalex.org/W2536583325","https://openalex.org/W2916132663","https://openalex.org/W2971196067","https://openalex.org/W3046490650","https://openalex.org/W3195446119","https://openalex.org/W4297499129","https://openalex.org/W4313213255","https://openalex.org/W4317734110","https://openalex.org/W4324030804","https://openalex.org/W4384927088","https://openalex.org/W4386082902","https://openalex.org/W4391044563","https://openalex.org/W4395444063","https://openalex.org/W6865317865"],"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/W2801635251"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"social":[3],"media":[4],"and":[5,25,46,86,95,99,124,148,163,170,179,188,202],"other":[6],"forms":[7],"of":[8,38,50,117,128],"digital":[9],"communication":[10],"have":[11],"become":[12,30],"a":[13,31,56],"trend,":[14],"encouraging":[15],"much":[16],"research":[17],"on":[18,135],"sentiment":[19,39,194],"analysis.":[20],"Integrating":[21],"multiple":[22,146],"machine":[23],"learning":[24,27],"deep":[26],"methods":[28],"has":[29],"viable":[32],"solution":[33],"to":[34,54],"improve":[35,185],"the":[36,78,87,118,129,180],"reliability":[37],"analysis,":[40],"especially":[41],"in":[42,159],"outlier":[43,65],"opinion":[44],"mining":[45,64],"cross-domain.":[47],"The":[48,101,126,151,165,191],"purpose":[49],"this":[51],"study":[52],"is":[53],"develop":[55],"model":[57,103,131,153,166,196],"that":[58,111],"combines":[59],"various":[60,200],"analytical":[61],"techniques":[62],"for":[63],"opinions":[66],"effectively":[67],"across":[68,174],"different":[69,83,115,175],"application":[70],"domains.":[71,176,203],"A":[72],"comprehensive":[73],"methodology":[74],"was":[75,80,105,132],"explicitly":[76],"employed,":[77],"data":[79,88],"collected":[81],"from":[82],"public":[84],"sources,":[85],"preprocessing":[89],"procedures":[90],"included":[91],"text":[92],"cleaning,":[93],"tokenization,":[94],"embedding":[96],"using":[97],"BERT":[98],"Word2Vec.":[100],"hybrid":[102,152,182,193],"architecture":[104,183],"designed":[106],"with":[107],"three":[108],"branches,":[109],"such":[110],"each":[112],"branch":[113],"involves":[114],"combinations":[116],"following":[119],"algorithms:":[120],"SVM,":[121],"CNN,":[122],"GBM,":[123],"GRU.":[125],"performance":[127,171,198],"proposed":[130,181,192],"assessed":[133],"based":[134],"widely":[136],"used":[137],"measures":[138],"(accuracy,":[139],"precision,":[140,161],"recall,":[141,162],"F1":[142],"score,":[143],"AUC-ROC)":[144],"over":[145,199],"datasets":[147,201],"cross-domain":[149],"settings.":[150],"performed":[154],"better":[155],"than":[156],"single":[157],"models":[158],"accuracy,":[160],"F1-score.":[164],"eliminated":[167],"out-of-scope":[168],"opinions,":[169],"remained":[172],"stable":[173],"Advanced":[177],"embeddings":[178],"helped":[184],"feature":[186],"representation":[187],"image":[189],"classification.":[190],"analysis":[195],"improves":[197]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
