{"id":"https://openalex.org/W2099885352","doi":null,"title":"Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation","display_name":"Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2099885352","mag":"2099885352"},"language":"en","primary_location":{"id":"pmh:oai:infoscience.tind.io:197185","doi":null,"is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/101272","pdf_url":"https://infoscience.epfl.ch/record/197185/files/W13-1603.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/record/197185/files/W13-1603.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003031551","display_name":"Valentina Sintsova","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Valentina Sintsova","raw_affiliation_strings":["\u00c9cole Polytechnique, F\u00e9d\u00e9rale de Lausanne#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique, F\u00e9d\u00e9rale de Lausanne#TAB#","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010309406","display_name":"Claudiu Musat","orcid":"https://orcid.org/0000-0003-2156-7738","observed_orcids":["https://orcid.org/0000-0003-2156-7738"]},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claudiu Musat","raw_affiliation_strings":["\u00c9cole Normale Sup\u00e9rieure - PSL, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-2156-7738","affiliations":[{"raw_affiliation_string":"\u00c9cole Normale Sup\u00e9rieure - PSL, Paris, France","institution_ids":["https://openalex.org/I29607241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048864545","display_name":"Pearl Pu","orcid":"https://orcid.org/0000-0001-8841-4416","observed_orcids":["https://orcid.org/0000-0001-8841-4416"]},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pearl Pu","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-8841-4416","affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1726,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93568162,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.98580002784729,"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":0.98580002784729,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.013899999670684338,"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/T12488","display_name":"Mental Health via Writing","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fine-grained-emotion-recognition","display_name":"fine-grained emotion recognition","score":0.9789999723434448},{"id":"https://openalex.org/keywords/human-computation","display_name":"human computation","score":0.8379999995231628},{"id":"https://openalex.org/keywords/emotion-lexicon","display_name":"emotion lexicon","score":0.8799999952316284},{"id":"https://openalex.org/keywords/geneva-emotion-wheel","display_name":"GEW","score":0.9440000057220459},{"id":"https://openalex.org/keywords/emotion-annotation","display_name":"emotion annotation","score":0.7300000190734863},{"id":"https://openalex.org/keywords/domain-specific-vocabulary","display_name":"domain-specific terminology","score":0.6769999861717224},{"id":"https://openalex.org/keywords/amazon-mechanical-turk","display_name":"Amazon Mechanical Turk","score":0.7269999980926514}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8085964918136597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371003031730652},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.6570449471473694},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6163873076438904},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6030888557434082},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5941810607910156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5837880969047546},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5732223391532898},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5556857585906982},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5427626967430115},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.48015064001083374},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4801351726055145},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4626065194606781},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4607544541358948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07115322351455688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06603088974952698},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:infoscience.tind.io:197185","doi":null,"is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/101272","pdf_url":"https://infoscience.epfl.ch/record/197185/files/W13-1603.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"pmh:oai:infoscience.epfl.ch:197185","doi":null,"is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/197185","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"mag:2099885352","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/W13-1603.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420633","display_name":"North American Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"North American Chapter of the Association for Computational Linguistics","raw_type":null}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:197185","doi":null,"is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/101272","pdf_url":"https://infoscience.epfl.ch/record/197185/files/W13-1603.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2099885352.pdf","grobid_xml":"https://content.openalex.org/works/W2099885352.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W172155968","https://openalex.org/W1513398909","https://openalex.org/W1583650837","https://openalex.org/W1966797434","https://openalex.org/W1970381522","https://openalex.org/W1975879668","https://openalex.org/W2040467972","https://openalex.org/W2043181832","https://openalex.org/W2066064791","https://openalex.org/W2075718943","https://openalex.org/W2082291422","https://openalex.org/W2102998034","https://openalex.org/W2146111747","https://openalex.org/W2146241755","https://openalex.org/W2150617068","https://openalex.org/W2151543699","https://openalex.org/W2160660844","https://openalex.org/W2162010436","https://openalex.org/W2164777277","https://openalex.org/W2168493061","https://openalex.org/W2294703018","https://openalex.org/W2321563513","https://openalex.org/W2404480901"],"related_works":["https://openalex.org/W7098052734","https://openalex.org/W2571740133","https://openalex.org/W2466545435","https://openalex.org/W2403326315","https://openalex.org/W2576613575","https://openalex.org/W1569507287","https://openalex.org/W2489179012","https://openalex.org/W2574514673","https://openalex.org/W7132662964","https://openalex.org/W3197402560"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,38,135],"detail":[4],"a":[5,70,81],"method":[6,78],"for":[7,99,129],"domain":[8],"specific,":[9],"multi-category":[10],"emotion":[11,26,41,47,66,76,84,132],"recognition,":[12],"based":[13],"on":[14],"human":[15],"computation.":[16],"We":[17,88,107],"create":[18,39],"an":[19,40,137],"Amazon":[20],"Mechanical":[21],"Turk1":[22],"task":[23],"that":[24,60,109],"elicits":[25],"labels":[27,67],"and":[28,103],"phrase-emotion":[29],"associations":[30],"from":[31],"the":[32,35,45,50,56,90,94,101,110,115,130,142],"participants.":[33],"Using":[34],"proposed":[36],"method,":[37],"lexicon,":[42],"compatible":[43],"with":[44,68,96],"20":[46],"categories":[48],"of":[49,73,83,93],"Geneva":[51],"Emotion":[52],"Wheel.":[53],"GEW":[54],"is":[55],"first":[57],"computational":[58],"resource":[59],"can":[61],"be":[62],"used":[63],"to":[64],"assign":[65],"such":[69],"high":[71],"level":[72],"granularity.":[74],"Our":[75],"annotation":[77],"also":[79],"produced":[80],"corpus":[82],"labeled":[85],"sports":[86],"tweets.":[87],"compared":[89],"crossvalidated":[91],"version":[92],"lexicon":[95,113],"existing":[97,116],"resources":[98],"both":[100,121],"positive/negative":[102],"multi-emotion":[104],"classification":[105],"problems.":[106],"show":[108],"presented":[111],"domain-targeted":[112],"outperforms":[114],"general":[117],"purpose":[118],"ones":[119],"in":[120],"settings.":[122],"The":[123],"performance":[124],"gains":[125],"are":[126],"most":[127],"pronounced":[128],"fine-grained":[131],"classification,":[133],"where":[134],"achieve":[136],"accuracy":[138],"twice":[139],"higher":[140],"than":[141],"benchmark.2":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":9}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}