{"id":"https://openalex.org/W2186495115","doi":"https://doi.org/10.1109/acii.2015.7344668","title":"Improving emotion classification on Chinese microblog texts with auxiliary cross-domain data","display_name":"Improving emotion classification on Chinese microblog texts with auxiliary cross-domain data","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2186495115","doi":"https://doi.org/10.1109/acii.2015.7344668","mag":"2186495115"},"language":"en","primary_location":{"id":"doi:10.1109/acii.2015.7344668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2015.7344668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","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/A5058189268","display_name":"Huimin Wu","orcid":"https://orcid.org/0000-0001-8416-7710"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huimin Wu","raw_affiliation_strings":["Multimedia Computing Lab, Renmin University of China"],"affiliations":[{"raw_affiliation_string":"Multimedia Computing Lab, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009985839","display_name":"Qin Jin","orcid":"https://orcid.org/0000-0001-6486-6020"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Jin","raw_affiliation_strings":["Multimedia Computing Lab, Renmin University of China"],"affiliations":[{"raw_affiliation_string":"Multimedia Computing Lab, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058189268"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76757933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"821","last_page":"826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9977999925613403,"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/T10028","display_name":"Topic Modeling","score":0.9939000010490417,"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/microblogging","display_name":"Microblogging","score":0.9445120096206665},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.8180657029151917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7992843389511108},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6802645325660706},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6105598211288452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4676342308521271},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4340224862098694},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41355419158935547},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2691919803619385}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.9445120096206665},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.8180657029151917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7992843389511108},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6802645325660706},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6105598211288452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4676342308521271},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4340224862098694},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41355419158935547},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2691919803619385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acii.2015.7344668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2015.7344668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","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":20,"referenced_works":["https://openalex.org/W1977309386","https://openalex.org/W1989145535","https://openalex.org/W2071085454","https://openalex.org/W2085582472","https://openalex.org/W2111362445","https://openalex.org/W2112344871","https://openalex.org/W2112483442","https://openalex.org/W2124687206","https://openalex.org/W2143104527","https://openalex.org/W2158108973","https://openalex.org/W2165698076","https://openalex.org/W2166706824","https://openalex.org/W2171645516","https://openalex.org/W2174750897","https://openalex.org/W2251374610","https://openalex.org/W2294703018","https://openalex.org/W6677069268","https://openalex.org/W6678691458","https://openalex.org/W6685400063","https://openalex.org/W6697146284"],"related_works":["https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2053241453","https://openalex.org/W2537388533","https://openalex.org/W2978974359","https://openalex.org/W2153980712","https://openalex.org/W2021183651","https://openalex.org/W2036556872","https://openalex.org/W2017590198","https://openalex.org/W2353191283"],"abstract_inverted_index":{"Emotion":[0],"classification":[1,45,117],"for":[2,58,74],"microblog":[3,21,47,120],"texts":[4,22,48,121],"has":[5,53,71],"wide":[6],"applications":[7],"such":[8],"as":[9,110],"in":[10,100],"social":[11],"security":[12],"and":[13],"business":[14],"marketing":[15],"areas.":[16],"The":[17,113],"amount":[18],"of":[19,66,115,125],"annotated":[20,35],"is":[23],"very":[24],"limited.":[25],"In":[26,88],"this":[27,89],"paper,":[28,90],"we":[29,91,108],"therefore":[30],"study":[31],"how":[32],"to":[33,42,63,96],"utilize":[34],"data":[36,99],"from":[37,80],"other":[38],"domains":[39],"(source":[40],"domain)":[41],"improve":[43],"emotion":[44,116],"on":[46,118],"(target":[49],"domain).":[50],"Transfer":[51],"learning":[52],"been":[54,72],"a":[55],"successful":[56],"approach":[57],"cross":[59],"domain":[60,83,103],"learning.":[61,87],"However,":[62],"the":[64,77,81,101,123],"best":[65],"our":[67,126],"knowledge,":[68],"little":[69],"attention":[70],"paid":[73],"automatically":[75],"selecting":[76],"appropriate":[78],"samples":[79],"source":[82,102],"before":[84,104],"applying":[85],"transfer":[86,105],"propose":[92],"an":[93],"effective":[94],"framework":[95],"sampling":[97],"available":[98],"learning,":[106],"which":[107],"name":[109],"Two-Stage":[111],"Sampling.":[112],"improvement":[114],"Chinese":[119],"demonstrates":[122],"effectiveness":[124],"approach.":[127]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}