{"id":"https://openalex.org/W2493920898","doi":"https://doi.org/10.1109/mci.2016.2572540","title":"Statistical Learning Theory and ELM for Big Social Data Analysis","display_name":"Statistical Learning Theory and ELM for Big Social Data Analysis","publication_year":2016,"publication_date":"2016-07-18","ids":{"openalex":"https://openalex.org/W2493920898","doi":"https://doi.org/10.1109/mci.2016.2572540","mag":"2493920898"},"language":"en","primary_location":{"id":"doi:10.1109/mci.2016.2572540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2016.2572540","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","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/A5045802198","display_name":"Luca Oneto","orcid":"https://orcid.org/0000-0002-8445-395X"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Oneto","raw_affiliation_strings":["DIBRIS, University of Genoa, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIBRIS, University of Genoa, ITALY","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075110204","display_name":"Federica Bisio","orcid":null},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federica Bisio","raw_affiliation_strings":["DITEN, University of Genoa, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DITEN, University of Genoa, ITALY","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752356","display_name":"Erik Cambria","orcid":"https://orcid.org/0000-0002-3030-1280"},"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":"Erik Cambria","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/A5036611143","display_name":"Davide Anguita","orcid":"https://orcid.org/0000-0001-7523-5291"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Anguita","raw_affiliation_strings":["DIBRIS, University of Genoa, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIBRIS, University of Genoa, ITALY","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":29.5902,"has_fulltext":false,"cited_by_count":114,"citation_normalized_percentile":{"value":0.99604355,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"11","issue":"3","first_page":"45","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9955000281333923,"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/T10057","display_name":"Face and Expression Recognition","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8329575061798096},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7846970558166504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5927950739860535},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5811368823051453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5749152898788452},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.569929301738739},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5655103325843811},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5580546259880066},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5566763877868652},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5430040955543518},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5058931708335876},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.47240322828292847},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4449305236339569},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42568355798721313},{"id":"https://openalex.org/keywords/statistical-learning-theory","display_name":"Statistical learning theory","score":0.41852492094039917},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2984035015106201},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2395462989807129},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1279124915599823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8329575061798096},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7846970558166504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5927950739860535},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5811368823051453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5749152898788452},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.569929301738739},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5655103325843811},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5580546259880066},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5566763877868652},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5430040955543518},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5058931708335876},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.47240322828292847},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4449305236339569},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42568355798721313},{"id":"https://openalex.org/C2779915298","wikidata":"https://www.wikidata.org/wiki/Q7604400","display_name":"Statistical learning theory","level":3,"score":0.41852492094039917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2984035015106201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2395462989807129},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1279124915599823},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/mci.2016.2572540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2016.2572540","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computational Intelligence Magazine","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/962588","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/962588","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:arpi.unipi.it:11568/996667","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/996667","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unige.it:11567/845908","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/845908","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":121,"referenced_works":["https://openalex.org/W198584455","https://openalex.org/W1123101191","https://openalex.org/W1512208174","https://openalex.org/W1520795727","https://openalex.org/W1553283060","https://openalex.org/W1554663460","https://openalex.org/W1564947197","https://openalex.org/W1596717185","https://openalex.org/W1628829797","https://openalex.org/W1647913072","https://openalex.org/W1680392829","https://openalex.org/W1823320334","https://openalex.org/W1840091437","https://openalex.org/W1953362807","https://openalex.org/W1974051946","https://openalex.org/W1981552604","https://openalex.org/W1985554463","https://openalex.org/W1995207790","https://openalex.org/W1995691260","https://openalex.org/W1995945562","https://openalex.org/W1997453445","https://openalex.org/W1999376700","https://openalex.org/W2006151125","https://openalex.org/W2009784682","https://openalex.org/W2014384147","https://openalex.org/W2016043834","https://openalex.org/W2016279377","https://openalex.org/W2019363670","https://openalex.org/W2026131661","https://openalex.org/W2028140375","https://openalex.org/W2033559768","https://openalex.org/W2034365297","https://openalex.org/W2036260704","https://openalex.org/W2037495825","https://openalex.org/W2040233874","https://openalex.org/W2040263621","https://openalex.org/W2045489657","https://openalex.org/W2048629585","https://openalex.org/W2052842899","https://openalex.org/W2061065224","https://openalex.org/W2063364984","https://openalex.org/W2063368770","https://openalex.org/W2082233060","https://openalex.org/W2084341220","https://openalex.org/W2087258353","https://openalex.org/W2087624898","https://openalex.org/W2089880431","https://openalex.org/W2091328698","https://openalex.org/W2091467593","https://openalex.org/W2097931325","https://openalex.org/W2098533231","https://openalex.org/W2102471052","https://openalex.org/W2111072639","https://openalex.org/W2116173306","https://openalex.org/W2118585731","https://openalex.org/W2119748693","https://openalex.org/W2121971770","https://openalex.org/W2122111042","https://openalex.org/W2129011250","https://openalex.org/W2129538346","https://openalex.org/W2131975293","https://openalex.org/W2134603844","https://openalex.org/W2139072600","https://openalex.org/W2140565974","https://openalex.org/W2141695047","https://openalex.org/W2146774335","https://openalex.org/W2148603752","https://openalex.org/W2149298154","https://openalex.org/W2150434953","https://openalex.org/W2156876426","https://openalex.org/W2157887385","https://openalex.org/W2164276496","https://openalex.org/W2167453047","https://openalex.org/W2170207925","https://openalex.org/W2189465200","https://openalex.org/W2192604218","https://openalex.org/W2250879510","https://openalex.org/W2251394420","https://openalex.org/W2252215182","https://openalex.org/W2296734373","https://openalex.org/W2306941105","https://openalex.org/W2341587966","https://openalex.org/W2404480901","https://openalex.org/W2481359644","https://openalex.org/W2482213519","https://openalex.org/W2529732552","https://openalex.org/W2579923771","https://openalex.org/W2586618089","https://openalex.org/W2911964244","https://openalex.org/W2994602700","https://openalex.org/W3009557165","https://openalex.org/W3022552533","https://openalex.org/W3100743579","https://openalex.org/W3104887532","https://openalex.org/W3106889297","https://openalex.org/W3121961986","https://openalex.org/W3125152691","https://openalex.org/W4233413206","https://openalex.org/W4237730655","https://openalex.org/W4238893454","https://openalex.org/W4239510810","https://openalex.org/W4243551976","https://openalex.org/W4246611965","https://openalex.org/W4285719527","https://openalex.org/W4388297464","https://openalex.org/W6608212388","https://openalex.org/W6637386731","https://openalex.org/W6638983183","https://openalex.org/W6677656871","https://openalex.org/W6679935922","https://openalex.org/W6680922791","https://openalex.org/W6683161558","https://openalex.org/W6684836731","https://openalex.org/W6687074893","https://openalex.org/W6687322159","https://openalex.org/W6697591862","https://openalex.org/W6713894373","https://openalex.org/W6728111284","https://openalex.org/W6732517885","https://openalex.org/W6733172388","https://openalex.org/W7034108470"],"related_works":["https://openalex.org/W2545366524","https://openalex.org/W3211874991","https://openalex.org/W4295309597","https://openalex.org/W2968635089","https://openalex.org/W3005133889","https://openalex.org/W4210794429","https://openalex.org/W2610205565","https://openalex.org/W2972087526","https://openalex.org/W4313488044","https://openalex.org/W4375930479"],"abstract_inverted_index":{"The":[0,133],"science":[1],"of":[2,14,21,34,53,147,151,185,198],"opinion":[3],"analysis":[4],"based":[5],"on":[6,37],"data":[7,117],"from":[8],"social":[9,116],"networks":[10],"and":[11,25,44,69,89,106,179],"other":[12],"forms":[13],"mass":[15],"media":[16],"has":[17,158],"garnered":[18],"the":[19,22,26,31,38,50,84,108,145,155,173,186,196,204],"interest":[20],"scientific":[23],"community":[24],"business":[27],"world.":[28],"Dealing":[29],"with":[30,136],"increasing":[32],"amount":[33],"information":[35],"present":[36],"Web":[39],"is":[40,138],"a":[41,121,148],"critical":[42],"task":[43],"requires":[45],"efficient":[46,63],"models":[47],"developed":[48,125],"by":[49],"emerging":[51],"field":[52],"sentiment":[54],"analysis.":[55,118],"To":[56],"this":[57,77,164],"end,":[58],"current":[59],"research":[60],"proposes":[61],"an":[62,101,168],"approach":[64],"to":[65,82,98,114,126,142,159,182,194],"support":[66],"emotion":[67],"recognition":[68],"polarity":[70],"detection":[71],"in":[72,91,96,130,139,144,176,190,192],"natural":[73],"language":[74],"text.":[75],"In":[76],"paper,":[78],"we":[79,166],"show":[80,180],"how":[81,181],"exploit":[83],"most":[85,187],"recent":[86,188],"technological":[87],"tools":[88],"advances":[90,189],"Statistical":[92],"Learning":[93,103],"Theory":[94],"(SLT)":[95],"order":[97,193],"efficiently":[99],"build":[100],"Extreme":[102],"Machine":[104],"(ELM)":[105],"assess":[107],"resultant":[109],"model's":[110],"performance":[111,157],"when":[112],"applied":[113],"big":[115],"ELM":[119,137,169,200],"represents":[120],"powerful":[122],"learning":[123],"tool,":[124],"overcome":[127],"some":[128],"issues":[129],"back-propagation":[131],"networks.":[132],"main":[134],"problem":[135],"training":[140],"them":[141],"work":[143],"event":[146],"large":[149],"number":[150],"available":[152],"samples,":[153],"where":[154],"generalization":[156,206],"be":[160],"carefully":[161],"assessed.":[162],"For":[163],"reason,":[165],"propose":[167],"implementation":[170],"that":[171,202],"exploits":[172],"Spark":[174],"distributed":[175],"memory":[177],"technology":[178],"take":[183],"advantage":[184],"SLT":[191],"address":[195],"issue":[197],"selecting":[199],"hyperparameters":[201],"give":[203],"best":[205],"performance.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
