{"id":"https://openalex.org/W2624980631","doi":"https://doi.org/10.1145/3055635.3056601","title":"Exploring the Ensemble of Classifiers for Sentimental Analysis","display_name":"Exploring the Ensemble of Classifiers for Sentimental Analysis","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2624980631","doi":"https://doi.org/10.1145/3055635.3056601","mag":"2624980631"},"language":"en","primary_location":{"id":"doi:10.1145/3055635.3056601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","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/A5034925484","display_name":"Ali Athar","orcid":"https://orcid.org/0000-0002-2331-7663"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Ali Athar","raw_affiliation_strings":["Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010819201","display_name":"Wasi Haider Butt","orcid":"https://orcid.org/0000-0002-1347-3662"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Wasi Haider Butt","raw_affiliation_strings":["Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045766368","display_name":"Muhammad Waseem Anwar","orcid":"https://orcid.org/0000-0002-1193-5683"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Waseem Anwar","raw_affiliation_strings":["Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008740578","display_name":"M. Latif","orcid":"https://orcid.org/0000-0002-7212-8017"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Latif","raw_affiliation_strings":["Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040585772","display_name":"Farooque Azam","orcid":"https://orcid.org/0000-0002-7421-7400"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Farooque Azam","raw_affiliation_strings":["Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of E&ME, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034925484"],"corresponding_institution_ids":["https://openalex.org/I929597975"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60492686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"410","last_page":"414"},"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":0.9933000206947327,"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":0.9926000237464905,"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":0.7619690895080566},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7427310943603516},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6590542197227478},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6506146788597107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.620457649230957},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6021161675453186},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5854967832565308},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5664354562759399},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4409506916999817},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4174090027809143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07297220826148987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619690895080566},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7427310943603516},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6590542197227478},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6506146788597107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.620457649230957},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6021161675453186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5854967832565308},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5664354562759399},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4409506916999817},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4174090027809143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07297220826148987},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3055635.3056601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W23451747","https://openalex.org/W92860568","https://openalex.org/W194490537","https://openalex.org/W196879948","https://openalex.org/W272117402","https://openalex.org/W1517678168","https://openalex.org/W1908808128","https://openalex.org/W1928220963","https://openalex.org/W1964829310","https://openalex.org/W1966813709","https://openalex.org/W1988824081","https://openalex.org/W2003303386","https://openalex.org/W2011432097","https://openalex.org/W2015525779","https://openalex.org/W2018803240","https://openalex.org/W2021137987","https://openalex.org/W2029053829","https://openalex.org/W2059342461","https://openalex.org/W2070674634","https://openalex.org/W2135756832","https://openalex.org/W2143455647","https://openalex.org/W2161270746","https://openalex.org/W2168894761","https://openalex.org/W2219575741","https://openalex.org/W2290024306","https://openalex.org/W2417999172","https://openalex.org/W2440899416","https://openalex.org/W2511592266","https://openalex.org/W2515197428","https://openalex.org/W2538942427","https://openalex.org/W2553002154","https://openalex.org/W6653964084","https://openalex.org/W6684456340","https://openalex.org/W7043138261"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W2891633941","https://openalex.org/W3202800081","https://openalex.org/W3101614107","https://openalex.org/W1909207154","https://openalex.org/W4390971112","https://openalex.org/W3036530763","https://openalex.org/W1514365828","https://openalex.org/W3149839747","https://openalex.org/W3204228978"],"abstract_inverted_index":{"Text":[0],"classification":[1],"is":[2,15,56,88],"a":[3,83],"well-known":[4],"machine":[5],"learning":[6],"approach":[7],"to":[8,24,36,48,90,140],"simplify":[9],"the":[10,19,26,38,42,49,63,74,117,126,132,136,141],"domain-specific":[11],"investigation.":[12],"Therefore,":[13,79],"it":[14],"commonly":[16],"utilized":[17],"in":[18,73,80,116],"field":[20],"of":[21,44,51,76,119,131],"sentimental":[22,45,77,120],"analysis":[23],"achieve":[25],"particular":[27],"business":[28],"goals.":[29],"Different":[30],"ensemble":[31,65,100],"approaches":[32],"are":[33,114],"frequently":[34],"introduced":[35],"unify":[37],"desired":[39],"classifiers":[40],"for":[41],"improvement":[43],"classification.":[46],"However,":[47],"best":[50],"our":[52],"knowledge,":[53],"no":[54],"study":[55],"available":[57],"yet":[58],"that":[59],"investigate":[60],"and":[61,70,111,128],"summarize":[62],"leading":[64,103],"approaches,":[66],"classifiers,":[67,104],"features,":[68],"tools":[69,113],"datasets":[71],"altogether":[72],"domain":[75,133],"analysis.":[78,121],"this":[81],"paper,":[82],"Systematic":[84],"Literature":[85],"Review":[86],"(SLR)":[87],"performed":[89],"identify":[91],"31":[92],"studies":[93],"published":[94],"during":[95],"2008--2016.":[96],"Subsequently,":[97],"14":[98],"modern":[99],"techniques,":[101],"26":[102],"15":[105],"benchmark":[106],"datasets,":[107],"19":[108],"prominent":[109],"features":[110],"8":[112],"presented":[115],"context":[118],"This":[122],"investigation":[123],"certainly":[124],"benefits":[125],"scholars":[127],"industrial":[129],"experts":[130],"while":[134],"deciding":[135],"right":[137],"choices":[138],"according":[139],"given":[142],"requirements.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}