{"id":"https://openalex.org/W2771833219","doi":"https://doi.org/10.1109/smc.2017.8122782","title":"Adaptive two-stage feature selection for sentiment classification","display_name":"Adaptive two-stage feature selection for sentiment classification","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771833219","doi":"https://doi.org/10.1109/smc.2017.8122782","mag":"2771833219"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5028317321","display_name":"Chi Xu","orcid":"https://orcid.org/0000-0001-5480-3974"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xu Chi","raw_affiliation_strings":["Singapore Institute of Manufacturing Technology, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Manufacturing Technology, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019538467","display_name":"Tan Puay Siew","orcid":"https://orcid.org/0000-0003-4767-9877"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tan Puay Siew","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100752356","display_name":"Erik Cambria","orcid":"https://orcid.org/0000-0002-3030-1280"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Erik Cambria","raw_affiliation_strings":["Singapore Institute of Manufacturing Technology, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Manufacturing Technology, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1238","last_page":"1243"},"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":0.989300012588501,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/feature-selection","display_name":"Feature selection","score":0.7983168363571167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7455161809921265},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6778504252433777},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5808053612709045},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.575314462184906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715914368629456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5160972476005554},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4988982677459717},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4664098024368286},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4455118775367737},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43340668082237244},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39284056425094604}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7983168363571167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455161809921265},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6778504252433777},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5808053612709045},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.575314462184906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715914368629456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5160972476005554},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4988982677459717},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4664098024368286},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4455118775367737},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43340668082237244},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39284056425094604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W621566475","https://openalex.org/W1570713908","https://openalex.org/W1837631986","https://openalex.org/W1978712750","https://openalex.org/W2009118069","https://openalex.org/W2011432097","https://openalex.org/W2021137987","https://openalex.org/W2027147487","https://openalex.org/W2048658075","https://openalex.org/W2055103902","https://openalex.org/W2077259488","https://openalex.org/W2095642553","https://openalex.org/W2098162425","https://openalex.org/W2098879771","https://openalex.org/W2135408252","https://openalex.org/W2154776925","https://openalex.org/W2166706824","https://openalex.org/W2170505850","https://openalex.org/W2217348016","https://openalex.org/W2427312199","https://openalex.org/W2435251607","https://openalex.org/W2481359644","https://openalex.org/W2493920898","https://openalex.org/W2544767710","https://openalex.org/W2576454451","https://openalex.org/W2577250310","https://openalex.org/W2584561145","https://openalex.org/W2606776062","https://openalex.org/W2962709202","https://openalex.org/W3122283149","https://openalex.org/W4237730655","https://openalex.org/W6619538660","https://openalex.org/W6674522558","https://openalex.org/W6682981795","https://openalex.org/W6717827561","https://openalex.org/W6729026263","https://openalex.org/W6731694087","https://openalex.org/W6731741027"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W20047544","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,38],"is":[2,39,125,138],"able":[3],"to":[4,17,74,84,127,140],"automatically":[5],"extract":[6],"valuable":[7],"customer":[8],"information":[9,78],"from":[10,106],"large":[11],"amount":[12],"of":[13,32,36,43,87,130,143,164,167],"unstructured":[14],"text":[15],"data":[16,64,77,132],"support":[18],"decision":[19],"making":[20],"in":[21],"manufacturing":[22],"applications":[23],"such":[24],"as":[25,133],"product":[26],"design":[27],"and":[28,110,146],"demand":[29],"planning.":[30],"One":[31],"the":[33,40,121,128,162],"key":[34],"issues":[35],"sentiment":[37,147],"high":[41],"dimensionality":[42],"data,":[44],"which":[45,79,101],"can":[46,80,155],"be":[47,82],"effectively":[48],"solved":[49],"by":[50,67],"feature":[51,54,58,71,88,98,104,122,144],"selection.":[52],"Existing":[53],"selection":[55,99],"techniques":[56],"compute":[57],"scores":[59,105],"solely":[60],"based":[61,114],"on":[62,115],"training":[63,108],"statistics":[65],"or":[66],"modifying":[68],"a":[69,107],"specific":[70],"metric":[72],"formula":[73],"include":[75],"test":[76,117,131],"not":[81],"generalized":[83],"other":[85,158],"types":[86],"metrics.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93],"propose":[94],"an":[95],"adaptive":[96],"two-stage":[97],"approach,":[100],"generates":[102],"base":[103],"dataset":[109],"then":[111],"weights":[112],"them":[113],"individual":[116],"sample":[118],"so":[119],"that":[120,152],"importance":[123],"evaluation":[124],"adapted":[126],"characteristic":[129],"well.":[134],"The":[135,149],"proposed":[136],"method":[137],"applicable":[139],"arbitrary":[141],"type":[142],"metrics":[145],"classifiers.":[148],"experiments":[150],"show":[151],"our":[153],"approach":[154],"consistently":[156],"outperform":[157],"methods,":[159],"especially":[160],"for":[161],"setting":[163],"small":[165],"number":[166],"selected":[168],"features.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
