{"id":"https://openalex.org/W2769358458","doi":"https://doi.org/10.1109/bigcom.2017.34","title":"Research and Implementation of a Multi-label Learning Algorithm for Chinese Text Classification","display_name":"Research and Implementation of a Multi-label Learning Algorithm for Chinese Text Classification","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2769358458","doi":"https://doi.org/10.1109/bigcom.2017.34","mag":"2769358458"},"language":"en","primary_location":{"id":"doi:10.1109/bigcom.2017.34","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcom.2017.34","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)","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/A5100333854","display_name":"Xun Wang","orcid":"https://orcid.org/0000-0002-2741-433X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xun Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338921","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-0253-647X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110280278","display_name":"Zeqing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeqing Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008461898","display_name":"Jiahong Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahong Chu","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091707904","display_name":"Lan Yao","orcid":"https://orcid.org/0000-0001-8704-7124"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Yao","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101438986","display_name":"Zhibin Zhao","orcid":"https://orcid.org/0000-0001-7833-1844"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Zhao","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045799094","display_name":"Bill Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bill Zuo","raw_affiliation_strings":["Viewstap Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Viewstap Technology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100333854"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.6244,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78104655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"17","issue":null,"first_page":"68","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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/T11550","display_name":"Text and Document Classification Technologies","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/T11644","display_name":"Spam and Phishing Detection","score":0.9869999885559082,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9866999983787537,"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/computer-science","display_name":"Computer science","score":0.7646447420120239},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6947441697120667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.686169445514679},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.6670951247215271},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6493380069732666},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6181122660636902},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.6038095355033875},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6015542149543762},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5415992140769958},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.5009443759918213},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.49024611711502075},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4673255980014801},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.41490834951400757},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3393842577934265},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21087676286697388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11691692471504211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646447420120239},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6947441697120667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.686169445514679},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.6670951247215271},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6493380069732666},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6181122660636902},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.6038095355033875},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6015542149543762},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5415992140769958},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.5009443759918213},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.49024611711502075},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4673255980014801},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.41490834951400757},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3393842577934265},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21087676286697388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11691692471504211},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcom.2017.34","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcom.2017.34","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)","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":22,"referenced_works":["https://openalex.org/W1753402186","https://openalex.org/W1953606363","https://openalex.org/W1979974203","https://openalex.org/W1999954155","https://openalex.org/W2047221353","https://openalex.org/W2053463056","https://openalex.org/W2114315281","https://openalex.org/W2119466907","https://openalex.org/W2123217057","https://openalex.org/W2129414564","https://openalex.org/W2143570267","https://openalex.org/W2145241906","https://openalex.org/W2146241755","https://openalex.org/W2153635508","https://openalex.org/W2164549208","https://openalex.org/W2165345215","https://openalex.org/W2333622164","https://openalex.org/W2366385327","https://openalex.org/W4301204636","https://openalex.org/W6679166005","https://openalex.org/W6681363145","https://openalex.org/W6683986530"],"related_works":["https://openalex.org/W4293279049","https://openalex.org/W4365511164","https://openalex.org/W4376528628","https://openalex.org/W1537592868","https://openalex.org/W2763147989","https://openalex.org/W2470590370","https://openalex.org/W3207192536","https://openalex.org/W2510206144","https://openalex.org/W2766712954","https://openalex.org/W3172103400"],"abstract_inverted_index":{"Multi-label":[0],"learning":[1,17,110],"has":[2],"received":[3],"significant":[4,59],"attention":[5],"in":[6,49],"the":[7,11,45,64,76,85,97,136,145,149,160],"research":[8],"community":[9],"over":[10],"past":[12],"few":[13],"years.":[14],"Traditional":[15],"supervised":[16],"techniques":[18],"do":[19],"not":[20],"fit":[21],"it":[22],"well,":[23],"as":[24],"real-world":[25],"objects":[26],"might":[27],"be":[28],"complicated":[29],"and":[30,58,83],"have":[31],"multiple":[32,146],"semantic":[33],"meanings":[34],"simultaneously.":[35],"In":[36,70,148],"our":[37,41,105,163],"work,":[38],"we":[39,73,90,134,154],"set":[40],"goals":[42],"to":[43,60,96,127,143,158],"mine":[44],"involved":[46],"product":[47],"attributes":[48],"comment":[50],"data":[51],"from":[52,68],"JD.com.":[53],"This":[54],"task":[55],"is":[56,111],"fundamental":[57],"businesses":[61],"for":[62],"studying":[63],"online":[65],"market":[66],"feedbacks":[67],"consumers.":[69],"this":[71,152],"paper,":[72,153],"formally":[74],"define":[75],"three":[77],"types":[78],"of":[79,116,138,151,162],"text":[80],"categorization":[81],"problems":[82],"analyze":[84],"relations":[86],"among":[87],"them.":[88],"Then,":[89],"assign":[91],"some":[92],"single-label":[93,117,140],"multiclass":[94],"classifiers":[95,142],"new":[98],"training":[99],"datasets":[100],"which":[101],"are":[102],"created":[103],"by":[104],"constructing":[106],"algorithms.":[107,165],"Thus,":[108],"multilabel":[109],"transformed":[112],"into":[113],"a":[114,128],"series":[115],"multi-class":[118,141],"binary":[119],"classification":[120],"problems:":[121],"whether":[122],"an":[123],"unseen":[124],"instance":[125],"belongs":[126],"certain":[129],"class":[130],"or":[131],"not.":[132],"Finally,":[133],"assemble":[135],"outputs":[137],"all":[139],"obtain":[144],"labels.":[147],"end":[150],"conducted":[155],"comprehensive":[156],"experiments":[157],"evaluate":[159],"performance":[161],"proposed":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}