{"id":"https://openalex.org/W2899242426","doi":"https://doi.org/10.4018/ijirr.2019010103","title":"DE-ForABSA","display_name":"DE-ForABSA","publication_year":2018,"publication_date":"2018-10-31","ids":{"openalex":"https://openalex.org/W2899242426","doi":"https://doi.org/10.4018/ijirr.2019010103","mag":"2899242426"},"language":"en","primary_location":{"id":"doi:10.4018/ijirr.2019010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijirr.2019010103","pdf_url":null,"source":{"id":"https://openalex.org/S4210223861","display_name":"International Journal of Information Retrieval Research","issn_l":"2155-6377","issn":["2155-6377","2155-6385"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Retrieval Research","raw_type":"journal-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/A5030427973","display_name":"Charu Gupta","orcid":"https://orcid.org/0000-0002-1703-7040"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Charu Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, Bhagwan Parshuram Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bhagwan Parshuram Institute of Technology, Delhi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019254531","display_name":"Amita Jain","orcid":"https://orcid.org/0000-0003-0891-3675"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amita Jain","raw_affiliation_strings":["Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technology and Research, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technology and Research, New Delhi, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037247181","display_name":"Nisheeth Joshi","orcid":"https://orcid.org/0000-0002-9256-3825"},"institutions":[{"id":"https://openalex.org/I102117144","display_name":"Banasthali University","ror":"https://ror.org/05ycegt40","country_code":"IN","type":"education","lineage":["https://openalex.org/I102117144"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nisheeth Joshi","raw_affiliation_strings":["Department of Computer Science, Banasthali Vidyapith, Vanasthali, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Banasthali Vidyapith, Vanasthali, India","institution_ids":["https://openalex.org/I102117144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030427973"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1692,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61581983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":"1","first_page":"33","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9887999892234802,"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":0.9887999892234802,"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/T12496","display_name":"Color perception and design","score":0.928600013256073,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9122999906539917,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.7427082657814026},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5864643454551697},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5517968535423279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5236139893531799},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5204141736030579},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.5109823942184448},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4872569143772125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48660552501678467},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.46313217282295227},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.42327529191970825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3627399206161499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2504250407218933}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7427082657814026},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5864643454551697},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5517968535423279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5236139893531799},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5204141736030579},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.5109823942184448},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4872569143772125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48660552501678467},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.46313217282295227},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.42327529191970825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3627399206161499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2504250407218933},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijirr.2019010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijirr.2019010103","pdf_url":null,"source":{"id":"https://openalex.org/S4210223861","display_name":"International Journal of Information Retrieval Research","issn_l":"2155-6377","issn":["2155-6377","2155-6385"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Retrieval Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jirr00:v:9:y:2019:i:1:p:33-49","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJIRR.2019010103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1486206097","https://openalex.org/W1708394971","https://openalex.org/W1879678483","https://openalex.org/W1972705730","https://openalex.org/W1983220355","https://openalex.org/W1999367385","https://openalex.org/W2017609523","https://openalex.org/W2026789128","https://openalex.org/W2032180816","https://openalex.org/W2057323528","https://openalex.org/W2097726431","https://openalex.org/W2116450703","https://openalex.org/W2129724855","https://openalex.org/W2138810473","https://openalex.org/W2162145193","https://openalex.org/W2169714046","https://openalex.org/W2170391700","https://openalex.org/W2195085701","https://openalex.org/W2236361361","https://openalex.org/W2417999172","https://openalex.org/W2562036780","https://openalex.org/W2763681042","https://openalex.org/W2774650390","https://openalex.org/W2791000529","https://openalex.org/W2889679323","https://openalex.org/W4205184193","https://openalex.org/W4211186029"],"related_works":["https://openalex.org/W2993471286","https://openalex.org/W2155753975","https://openalex.org/W1535132062","https://openalex.org/W2921548550","https://openalex.org/W765698016","https://openalex.org/W2353865532","https://openalex.org/W4255564878","https://openalex.org/W2757655903","https://openalex.org/W2394470897","https://openalex.org/W2161627958"],"abstract_inverted_index":{"Today,":[0],"amongst":[1],"the":[2,15,72,83,104,107,120,169],"various":[3],"forms":[4],"of":[5,55,63,86,90,93,106,122,151,161,168],"online":[6],"data,":[7],"user":[8,61],"reviews":[9,62,73,147],"are":[10,66,74,77],"very":[11],"useful":[12],"in":[13,135,138],"understanding":[14],"user's":[16],"attitude,":[17],"emotion":[18],"and":[19,46,98],"sentiment":[20,43],"towards":[21],"a":[22,27,111,133,157],"product.":[23],"In":[24,70],"this":[25],"article,":[26],"novel":[28],"method,":[29],"named":[30],"as":[31],"DE-ForABSA":[32,53],"is":[33,110,132,144],"proposed":[34,142],"to":[35,81,102,115],"forecast":[36],"automobiles":[37],"sales":[38,105,149],"based":[39,42],"on":[40,146],"aspect":[41],"analysis":[44],"(ABSA)":[45],"ClusFuDE":[47,91],"[8]":[48],"(a":[49],"hybrid":[50],"forecasting":[51],"model).":[52],"consists":[54],"two":[56,123],"phases":[57],"\u2013":[58],"first,":[59],"extracted":[60,78],"an":[64,165],"automobile":[65],"analysed":[67],"using":[68],"ABSA.":[69],"ABSA,":[71],"pre-processed;":[75],"aspects":[76],"&":[79,126,148],"aggregated":[80],"determine":[82],"polarity":[84],"score":[85],"reviews.":[87],"Second,":[88],"uses":[89],"consisting":[92],"clustering,":[94],"fuzzy":[95],"logical":[96],"relationships":[97],"Differential":[99],"Evolution":[100],"(DE)":[101],"predict":[103],"automobile.":[108,152],"DE":[109],"population-based":[112],"search":[113],"method":[114,143],"optimize":[116],"real":[117],"values":[118],"under":[119],"control":[121],"operators:":[124],"mutation":[125,137],"crossover.":[127],"Score":[128],"from":[129],"phase":[130,139],"1":[131],"parameter":[134],"differential":[136],"2.":[140],"The":[141,153],"tested":[145],"data":[150],"empirical":[154],"results":[155],"show":[156],"Mean":[158],"Square":[159],"Error":[160],"142.90":[162],"which":[163],"indicates":[164],"effective":[166],"consistency":[167],"model":[170]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2018-11-09T00:00:00"}