{"id":"https://openalex.org/W4303449580","doi":"https://doi.org/10.1142/s1752890922500131","title":"Opinion Mining Using Normal Discriminant Piecewise Regressive (NDPR) Sentiment Classification Technique","display_name":"Opinion Mining Using Normal Discriminant Piecewise Regressive (NDPR) Sentiment Classification Technique","publication_year":2022,"publication_date":"2022-10-07","ids":{"openalex":"https://openalex.org/W4303449580","doi":"https://doi.org/10.1142/s1752890922500131"},"language":"en","primary_location":{"id":"doi:10.1142/s1752890922500131","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1752890922500131","pdf_url":null,"source":{"id":"https://openalex.org/S4210199942","display_name":"Journal of Uncertain Systems","issn_l":"1752-8909","issn":["1752-8909","1752-8917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Uncertain Systems","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/A5101977294","display_name":"K. Anuradha","orcid":"https://orcid.org/0000-0002-9004-5792"},"institutions":[{"id":"https://openalex.org/I47639616","display_name":"Centurion University of Technology and Management","ror":"https://ror.org/03js1g511","country_code":"IN","type":"education","lineage":["https://openalex.org/I47639616"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K. Anuradha","raw_affiliation_strings":["Centurion University of Technology & Management, R. Sitapur 761211, Odisha, India"],"affiliations":[{"raw_affiliation_string":"Centurion University of Technology & Management, R. Sitapur 761211, Odisha, India","institution_ids":["https://openalex.org/I47639616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006518358","display_name":"M. Vamsi Krishna","orcid":"https://orcid.org/0000-0001-5285-9990"},"institutions":[{"id":"https://openalex.org/I4210145126","display_name":"Aditya Birla (India)","ror":"https://ror.org/03pztks36","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210145126"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Vamsi Krishna","raw_affiliation_strings":["Aditya Engineering College, Surampalem 533437, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Aditya Engineering College, Surampalem 533437, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210145126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054454851","display_name":"Banitamani Mallik","orcid":null},"institutions":[{"id":"https://openalex.org/I47639616","display_name":"Centurion University of Technology and Management","ror":"https://ror.org/03js1g511","country_code":"IN","type":"education","lineage":["https://openalex.org/I47639616"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Banitamani Mallik","raw_affiliation_strings":["Centurion University of Technology & Management, R. Sitapur 761211, Odisha, India"],"affiliations":[{"raw_affiliation_string":"Centurion University of Technology & Management, R. Sitapur 761211, Odisha, India","institution_ids":["https://openalex.org/I47639616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101977294"],"corresponding_institution_ids":["https://openalex.org/I47639616"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53384189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.994700014591217,"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":0.9896000027656555,"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":0.8846346735954285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7359827756881714},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5561335682868958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.481361448764801},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4716816544532776},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4486501216888428},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42301106452941895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4162665903568268},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34099140763282776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18776965141296387}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8846346735954285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7359827756881714},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5561335682868958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.481361448764801},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4716816544532776},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4486501216888428},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42301106452941895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4162665903568268},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34099140763282776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18776965141296387},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1752890922500131","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1752890922500131","pdf_url":null,"source":{"id":"https://openalex.org/S4210199942","display_name":"Journal of Uncertain Systems","issn_l":"1752-8909","issn":["1752-8909","1752-8917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Uncertain Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2022756507","https://openalex.org/W2031774346","https://openalex.org/W2349337488","https://openalex.org/W2740022269","https://openalex.org/W2753498304","https://openalex.org/W2966937748","https://openalex.org/W2967147224","https://openalex.org/W3008590301","https://openalex.org/W3029242188","https://openalex.org/W3038833451","https://openalex.org/W3043133652","https://openalex.org/W3082235811","https://openalex.org/W3101519927","https://openalex.org/W3155222352"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3089396779","https://openalex.org/W3132372214","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2941935829","https://openalex.org/W2438765327","https://openalex.org/W3013279174","https://openalex.org/W4317653575","https://openalex.org/W4224284088"],"abstract_inverted_index":{"Sentiment":[0,22],"analysis":[1,23,328],"through":[2,7,124],"opinion":[3,54,68,186,197,241],"mining":[4,55,69],"is":[5,70,106,177,231,294],"determined":[6],"significant":[8],"and":[9,19,80,86,117,130,151,258,281,304,323,342],"growing":[10],"interest":[11],"for":[12,149,201,243],"many":[13],"industries":[14],"including":[15],"hotel,":[16],"tourism,":[17],"educations":[18],"so":[20],"on.":[21],"includes":[24],"design":[25],"of":[26,60,89,205,291,301,315],"the":[27,31,42,58,61,64,72,84,121,134,145,153,161,168,185,189,215,220,239,245,262,272,277,284,334,338],"system":[28],"to":[29,56,94,119,159,183,213,218,237,270,275,282,336],"search":[30],"user":[32,138,263],"opinions":[33,221,278,339],"in":[34,165,180,234,267,311],"blog":[35],"posts,":[36],"comments,":[37],"reviews":[38,306],"or":[39,45],"tweets":[40],"regarding":[41],"product,":[43],"policy":[44],"area.":[46],"Many":[47],"researchers":[48],"carried":[49,178,232,295],"out":[50,179,233,296],"their":[51,202],"research":[52],"on":[53,133,208],"identify":[57],"polarity":[59],"statements.":[62],"But":[63],"main":[65],"problem":[66],"during":[67],"that":[71,164,330],"words":[73,136,155,198,242],"chosen":[74],"do":[75],"not":[76,82],"solve":[77],"attribute":[78],"relevancy":[79],"could":[81],"classify":[83],"positive":[85,325,344],"negative":[87,259],"usage":[88],"uncertain":[90],"terms.":[91],"In":[92],"order":[93],"address":[95],"these":[96],"problems,":[97],"normal":[98,172],"discriminant":[99,173],"piecewise":[100,225],"regressive":[101,226],"(NDPR)":[102],"sentiment":[103,206,227,246,250],"classification":[104,118,228],"technique":[105,109,143,182,236,293,332],"introduced.":[107],"NDPR":[108,142,181,235,292,331],"perform":[110],"three":[111],"processes,":[112],"namely,":[113],"pre-processing,":[114],"feature":[115,174],"extraction":[116,175],"improve":[120,283],"accuracy":[122],"level":[123],"forming":[125],"classes":[126],"(i.e.,":[127],"positive,":[128,256],"neutral":[129,257],"negative)":[131],"based":[132,207],"extracted":[135,209],"from":[137,156,188,222,279,340],"review":[139,157,190,264,285,317],"comments.":[140,265],"Initially,":[141],"performs":[144],"data":[146],"pre-processing":[147],"task":[148],"stemming":[150],"removing":[152],"stop":[154],"statements":[158,191],"reduce":[160,214,271],"file":[162],"size":[163],"turn":[166,268],"improves":[167],"efficiency.":[169],"After":[170],"that,":[171],"process":[176,230],"extract":[184,219,276,337],"word":[187],"sent":[192],"by":[193],"reviewers.":[194,223],"The":[195,249,288,308],"related":[196],"are":[199,253,313],"systematized":[200],"semantic":[203,240],"equivalence":[204],"word.":[210],"This":[211,266],"helps":[212,269],"time":[216,273,320,335],"consumption":[217,274],"Finally,":[224],"(PRSC)":[229],"analyse":[238],"evaluating":[244],"class":[247,251],"label.":[248],"labels":[252],"categorized":[254],"into":[255],"sentiments":[260],"with":[261,297],"reviewers":[280,341],"detection":[286],"accuracy.":[287],"performance":[289],"evaluation":[290,312],"standard":[298],"benchmark":[299],"datasets":[300],"consumer":[302],"product":[303],"services":[305],"extracted.":[307],"parameters":[309],"used":[310],"number":[314],"customer":[316],"words,":[318],"accuracy,":[319],"complexity":[321],"(TC)":[322],"false":[324,343],"rate.":[326,345],"Experimental":[327],"shows":[329],"reduces":[333]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}