{"id":"https://openalex.org/W2109657698","doi":"https://doi.org/10.1145/2187980.2188066","title":"In the mood for affective search with web stereotypes","display_name":"In the mood for affective search with web stereotypes","publication_year":2012,"publication_date":"2012-04-16","ids":{"openalex":"https://openalex.org/W2109657698","doi":"https://doi.org/10.1145/2187980.2188066","mag":"2109657698"},"language":"en","primary_location":{"id":"doi:10.1145/2187980.2188066","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2187980.2188066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on World Wide Web","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049304554","display_name":"Tony Veale","orcid":"https://orcid.org/0000-0003-2375-1811"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tony Veale","raw_affiliation_strings":["Korean Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korean Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081726850","display_name":"Yanfen Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Yanfen Hao","raw_affiliation_strings":["University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991999864578247,"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":0.9991999864578247,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9952999949455261,"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/T11795","display_name":"Humor Studies and Applications","score":0.9901000261306763,"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/lexicon","display_name":"Lexicon","score":0.8923184871673584},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8363838195800781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6999301910400391},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6935716867446899},{"id":"https://openalex.org/keywords/stereotype","display_name":"Stereotype (UML)","score":0.6584979295730591},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5698865652084351},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5545601844787598},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.5099519491195679},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48762455582618713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4448261857032776},{"id":"https://openalex.org/keywords/headline","display_name":"Headline","score":0.42393797636032104},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.41947096586227417},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.36074763536453247},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.28224122524261475},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11169600486755371}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8923184871673584},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8363838195800781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6999301910400391},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6935716867446899},{"id":"https://openalex.org/C168127410","wikidata":"https://www.wikidata.org/wiki/Q1754331","display_name":"Stereotype (UML)","level":2,"score":0.6584979295730591},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5698865652084351},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5545601844787598},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.5099519491195679},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48762455582618713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4448261857032776},{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.42393797636032104},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.41947096586227417},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.36074763536453247},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28224122524261475},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11169600486755371},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2187980.2188066","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2187980.2188066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.309.8801","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.8801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2012.wwwconference.org/proceedings/companion/p429.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.385.3796","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.3796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://afflatus.ucd.ie/Papers/WWW Veale and Hao 2012.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2075718943","https://openalex.org/W2157205019","https://openalex.org/W2168702068","https://openalex.org/W2169813236","https://openalex.org/W2460591548","https://openalex.org/W6909306877"],"related_works":["https://openalex.org/W4285135530","https://openalex.org/W3198337106","https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W2975174210","https://openalex.org/W4200238620","https://openalex.org/W2244029015","https://openalex.org/W2287843335"],"abstract_inverted_index":{"Models":[0],"of":[1,9,12,55,106,115,141,167],"sentiment":[2,24,33],"analysis":[3,25],"in":[4,147],"text":[5],"require":[6],"an":[7,36,107],"understanding":[8],"what":[10,53,63,85],"kinds":[11],"sentiment-bearing":[13],"language":[14,79],"are":[15,65],"generally":[16,59],"used":[17,66,136],"to":[18,67,137,177],"describe":[19,103],"specific":[20],"topics.":[21,98],"Thus,":[22],"fine-grained":[23],"requires":[26],"both":[27],"a":[28,32,48,113,126,148,162],"topic":[29],"lexicon":[30,114,133,174],"and":[31,35,62,90,117,145,152],"lexicon,":[34,110],"affective":[37,108,121,142],"mapping":[38],"between":[39],"both.":[40],"For":[41],"instance,":[42],"when":[43,72,93],"one":[44,58],"speaks":[45],"disparagingly":[46],"about":[47,75,96],"city":[49,56],"(like":[50],"London,":[51],"say),":[52],"aspects":[54],"does":[57],"focus":[60],"on,":[61],"words":[64],"disparage":[68],"those":[69],"aspects?":[70],"As":[71],"we":[73,86,94,102,160,169],"talk":[74,95],"the":[76,104,139,157],"weather,":[77],"our":[78],"obeys":[80],"certain":[81],"familiar":[82,97],"patterns":[83],"-":[84,92],"might":[87],"call":[88],"clich\u00e9s":[89],"stereotypes":[91,116],"In":[99],"this":[100,132,172],"paper":[101],"construction":[105],"stereotype":[109,173],"that":[111],"is,":[112],"their":[118,179],"most":[119],"salient":[120],"qualities.":[122],"We":[123],"show,":[124],"via":[125],"demonstration":[127],"system":[128,149],"called":[129],"MOODfinger,":[130],"how":[131,171],"can":[134],"be":[135],"underpin":[138],"processes":[140],"query":[143],"expansion":[144],"summarization":[146],"for":[150],"retrieving":[151],"organizing":[153],"news":[154],"content":[155],"from":[156],"Web.":[158],"Though":[159],"adopt":[161],"simple":[163],"bipolar":[164],"+/-":[165],"view":[166],"sentiment,":[168],"show":[170],"allows":[175],"users":[176],"coin":[178],"own":[180],"nuanced":[181],"moods":[182],"on":[183],"demand.":[184]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
