{"id":"https://openalex.org/W98239058","doi":"https://doi.org/10.1145/2487788.2487810","title":"Learning to annotate tweets with crowd wisdom","display_name":"Learning to annotate tweets with crowd wisdom","publication_year":2013,"publication_date":"2013-05-13","ids":{"openalex":"https://openalex.org/W98239058","doi":"https://doi.org/10.1145/2487788.2487810","mag":"98239058"},"language":"en","primary_location":{"id":"doi:10.1145/2487788.2487810","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487788.2487810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on World Wide Web","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/A5068336830","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-1907-2664"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630868","display_name":"Jianyong Wang","orcid":"https://orcid.org/0000-0002-7555-170X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyong Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068336830"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.4985,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63928388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9952999949455261,"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":0.8691015243530273},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7758687734603882},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6961836814880371},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6134858131408691},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5555555820465088},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5074781775474548},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.49558770656585693},{"id":"https://openalex.org/keywords/crowd-sourcing","display_name":"Crowd sourcing","score":0.48421478271484375},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35254761576652527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2670804262161255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14782971143722534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8691015243530273},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7758687734603882},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6961836814880371},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6134858131408691},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5555555820465088},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5074781775474548},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.49558770656585693},{"id":"https://openalex.org/C3018396927","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowd sourcing","level":2,"score":0.48421478271484375},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35254761576652527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2670804262161255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14782971143722534}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2487788.2487810","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487788.2487810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.402.4520","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.402.4520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2013.org/companion/p57.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2029807880","https://openalex.org/W2104894372"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2361861616","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W2976765013","https://openalex.org/W2572825458"],"abstract_inverted_index":{"In":[0],"Twitter,":[1],"users":[2,15],"can":[3],"annotate":[4],"tweets":[5,90],"with":[6,93],"hashtags":[7,40,92],"to":[8,19,35,51,84,91],"indicate":[9],"the":[10,60,86,94,97],"ongoing":[11],"topics.":[12],"Hashtags":[13],"provide":[14],"a":[16,65],"convenient":[17],"way":[18,34,50],"categorize":[20,52],"tweets.":[21,53],"However,":[22],"two":[23],"problems":[24],"remain":[25],"unsolved":[26],"during":[27],"an":[28],"annotation:":[29],"(1)":[30],"Users":[31,46],"have":[32,41,47],"no":[33],"know":[36],"whether":[37],"some":[38],"related":[39],"already":[42],"been":[43],"created.":[44],"(2)":[45],"their":[48],"own":[49],"Thus":[54],"personalization":[55],"is":[56],"needed.":[57],"To":[58],"address":[59],"above":[61],"problems,":[62],"we":[63,81],"develop":[64],"statistical":[66],"model":[67,100,119],"for":[68],"Personalized":[69],"Hashtag":[70],"Recommendation.":[71],"With":[72],"millions":[73],"of":[74,96,112],"\"tweet,":[75],"hashtag\"":[76],"pairs":[77],"being":[78],"generated":[79],"everyday,":[80],"are":[82],"able":[83],"learn":[85],"complex":[87],"mappings":[88],"from":[89,128],"wisdom":[95],"crowd.":[98],"Our":[99],"considers":[101],"rich":[102],"auxiliary":[103],"information":[104],"like":[105],"URLs,":[106],"locations,":[107],"social":[108],"relation,":[109],"temporal":[110],"characteristics":[111],"hashtag":[113],"adoption,":[114],"etc.":[115],"We":[116],"show":[117],"our":[118],"successfully":[120],"outperforms":[121],"existing":[122],"methods":[123],"on":[124],"real":[125],"datasets":[126],"crawled":[127],"Twitter.":[129]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
