{"id":"https://openalex.org/W3025240471","doi":"https://doi.org/10.1109/fuzz48607.2020.9177778","title":"Disambiguation of features for improving target class detection from social media text","display_name":"Disambiguation of features for improving target class detection from social media text","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3025240471","doi":"https://doi.org/10.1109/fuzz48607.2020.9177778","mag":"3025240471"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5065458817","display_name":"Fatima Chiroma","orcid":"https://orcid.org/0000-0002-1578-8393"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fatima Chiroma","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089332324","display_name":"Ella Haig","orcid":"https://orcid.org/0000-0002-5617-1779"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ella Haig","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065458817"],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04865679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9995999932289124,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9995999932289124,"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":0.9987999796867371,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6998182535171509},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6316158175468445},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6250506043434143},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6226726770401001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986827611923218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48052939772605896},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.471964955329895},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4293239712715149},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.41186124086380005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39675432443618774},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3630847930908203},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34393972158432007},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17956778407096863},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.14181217551231384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12365931272506714},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09242329001426697}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6998182535171509},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6316158175468445},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6250506043434143},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6226726770401001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986827611923218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48052939772605896},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.471964955329895},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4293239712715149},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.41186124086380005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39675432443618774},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3630847930908203},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34393972158432007},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17956778407096863},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.14181217551231384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12365931272506714},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09242329001426697},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/7f1043e9-5cdf-4b78-b8e7-705fa6b6d5e5","is_oa":false,"landing_page_url":"https://researchportal.port.ac.uk/portal/en/publications/disambiguation-of-features-for-improving-target-class-detection-from-social-media-text(7f1043e9-5cdf-4b78-b8e7-705fa6b6d5e5).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W80056832","https://openalex.org/W1614298861","https://openalex.org/W1940549951","https://openalex.org/W2047449974","https://openalex.org/W2070145903","https://openalex.org/W2093647425","https://openalex.org/W2131744502","https://openalex.org/W2157035150","https://openalex.org/W2340041618","https://openalex.org/W2416164492","https://openalex.org/W2473555522","https://openalex.org/W2748177591","https://openalex.org/W2749058815","https://openalex.org/W2766857497","https://openalex.org/W2768465304","https://openalex.org/W2792441346","https://openalex.org/W2800318991","https://openalex.org/W2806872289","https://openalex.org/W2807452501","https://openalex.org/W2811439929","https://openalex.org/W2886741239","https://openalex.org/W2889391310","https://openalex.org/W2890787190","https://openalex.org/W2900152803","https://openalex.org/W2903410974","https://openalex.org/W2908737122","https://openalex.org/W2911546912","https://openalex.org/W2913021334","https://openalex.org/W2916227702","https://openalex.org/W2941193813","https://openalex.org/W2949094806","https://openalex.org/W2950577311","https://openalex.org/W2961274044","https://openalex.org/W2962797668","https://openalex.org/W2969144385","https://openalex.org/W2971104763","https://openalex.org/W2980181598","https://openalex.org/W2996848968","https://openalex.org/W3097993951","https://openalex.org/W3098924781","https://openalex.org/W3105113320","https://openalex.org/W3165716677","https://openalex.org/W4231745382","https://openalex.org/W4289236186","https://openalex.org/W6636510571","https://openalex.org/W6662487238","https://openalex.org/W6679775712","https://openalex.org/W6758421460","https://openalex.org/W6768027112"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W2388988621","https://openalex.org/W2357797405","https://openalex.org/W2045408812","https://openalex.org/W2888033806","https://openalex.org/W2955722679"],"abstract_inverted_index":{"The":[0],"rise":[1,17],"of":[2,10,18,53,90,102,129,169],"social":[3,55,67,79],"media":[4,56,68,80],"has":[5],"led":[6],"to":[7,42,48,60,109,117,133,136,164],"an":[8,125],"abundance":[9],"textual":[11],"data,":[12],"as":[13,15,110],"well":[14],"the":[16,54,100,114,137,159],"unhealthy":[19],"behaviours":[20,73,106,116],"targeted":[21],"at":[22,29,88],"others":[23],"(e.g.":[24,31],"bullying,":[25],"hate":[26],"speech)":[27],"or":[28],"oneself":[30],"suicide).":[32],"In":[33,99,120],"recent":[34],"years,":[35],"machine":[36,103],"learning":[37],"approaches":[38],"have":[39],"been":[40],"employed":[41],"detect":[43],"such":[44,72,105],"behaviours,":[45],"which":[46],"tend":[47],"constitute":[49],"a":[50,95,148,165],"small":[51],"portion":[52],"content":[57],"and":[58,154],"need":[59],"be":[61,87,118],"distinguished":[62],"from":[63],"other":[64],"discourse":[65],"on":[66,151],"that":[69,76,158],"may":[70,86],"discuss":[71],"without":[74],"displaying":[75],"behaviour,":[77],"e.g.":[78],"posts":[81],"about":[82],"helping":[83],"people":[84],"who":[85],"risk":[89],"suicide,":[91],"thus,":[92],"making":[93],"this":[94,121],"very":[96],"challenging":[97],"task.":[98],"context":[101],"learning,":[104],"are":[107],"referred":[108],"target":[111,138],"classes,":[112],"i.e.":[113],"main":[115],"detected.":[119],"paper":[122],"we":[123],"proposed":[124,160],"approach":[126,146,162],"for":[127],"disambiguation":[128,161],"features":[130],"in":[131],"relation":[132],"their":[134],"membership":[135],"class":[139],"vs.":[140],"non-target":[141],"class(es).":[142],"We":[143],"validate":[144],"our":[145,155],"with":[147],"case":[149],"study":[150],"suicide":[152],"detection":[153,167],"results":[156],"show":[157],"leads":[163],"better":[166],"rate":[168],"suicide.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
