{"id":"https://openalex.org/W3128129377","doi":"https://doi.org/10.1145/3412841.3441972","title":"Transfer learning approach for detecting psychological distress in brexit tweets","display_name":"Transfer learning approach for detecting psychological distress in brexit tweets","publication_year":2021,"publication_date":"2021-03-22","ids":{"openalex":"https://openalex.org/W3128129377","doi":"https://doi.org/10.1145/3412841.3441972","mag":"3128129377"},"language":"en","primary_location":{"id":"doi:10.1145/3412841.3441972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3412841.3441972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.00912","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012692900","display_name":"Sean-Kelly Palicki","orcid":"https://orcid.org/0000-0002-7797-9646"},"institutions":[{"id":"https://openalex.org/I12870472","display_name":"Birmingham City University","ror":"https://ror.org/00t67pt25","country_code":"GB","type":"education","lineage":["https://openalex.org/I12870472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sean-Kelly Palicki","raw_affiliation_strings":["Birmingham City University, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birmingham City University, United Kingdom","institution_ids":["https://openalex.org/I12870472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080135413","display_name":"Shereen Fouad","orcid":"https://orcid.org/0000-0002-4965-7017"},"institutions":[{"id":"https://openalex.org/I12870472","display_name":"Birmingham City University","ror":"https://ror.org/00t67pt25","country_code":"GB","type":"education","lineage":["https://openalex.org/I12870472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shereen Fouad","raw_affiliation_strings":["Birmingham City University, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birmingham City University, United Kingdom","institution_ids":["https://openalex.org/I12870472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048650513","display_name":"Mariam Adedoyin-Olowe","orcid":null},"institutions":[{"id":"https://openalex.org/I12870472","display_name":"Birmingham City University","ror":"https://ror.org/00t67pt25","country_code":"GB","type":"education","lineage":["https://openalex.org/I12870472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mariam Adedoyin-Olowe","raw_affiliation_strings":["Birmingham City University, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birmingham City University, United Kingdom","institution_ids":["https://openalex.org/I12870472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025272350","display_name":"Zahraa S. Abdallah","orcid":"https://orcid.org/0000-0002-1291-2918"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zahraa S. Abdallah","raw_affiliation_strings":["University of Bristol, United Kingdom","University of Bristol , United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"University of Bristol , United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"967","last_page":"975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9965999722480774,"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":0.9470000267028809,"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/brexit","display_name":"Brexit","score":0.9485052824020386},{"id":"https://openalex.org/keywords/distress","display_name":"Distress","score":0.6697311401367188},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5224772691726685},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5168828964233398},{"id":"https://openalex.org/keywords/anxiety","display_name":"Anxiety","score":0.5156061053276062},{"id":"https://openalex.org/keywords/psychological-distress","display_name":"Psychological distress","score":0.48250913619995117},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44715309143066406},{"id":"https://openalex.org/keywords/european-union","display_name":"European union","score":0.41770657896995544},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4133342504501343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3873741328716278},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3616551160812378},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.35666877031326294},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.24806979298591614},{"id":"https://openalex.org/keywords/developmental-psychology","display_name":"Developmental psychology","score":0.24754127860069275},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11505815386772156},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.08245119452476501},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08077943325042725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07810375094413757}],"concepts":[{"id":"https://openalex.org/C2776469822","wikidata":"https://www.wikidata.org/wiki/Q7888194","display_name":"Brexit","level":3,"score":0.9485052824020386},{"id":"https://openalex.org/C139265228","wikidata":"https://www.wikidata.org/wiki/Q5283089","display_name":"Distress","level":2,"score":0.6697311401367188},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5224772691726685},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5168828964233398},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.5156061053276062},{"id":"https://openalex.org/C3020031316","wikidata":"https://www.wikidata.org/wiki/Q6817452","display_name":"Psychological distress","level":3,"score":0.48250913619995117},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44715309143066406},{"id":"https://openalex.org/C2910001868","wikidata":"https://www.wikidata.org/wiki/Q458","display_name":"European union","level":2,"score":0.41770657896995544},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4133342504501343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3873741328716278},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3616551160812378},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.35666877031326294},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.24806979298591614},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.24754127860069275},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11505815386772156},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.08245119452476501},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08077943325042725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07810375094413757},{"id":"https://openalex.org/C105639569","wikidata":"https://www.wikidata.org/wiki/Q582577","display_name":"Economic policy","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}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1145/3412841.3441972","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3412841.3441972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:www.open-access.bcu.ac.uk:10573","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402654","display_name":"BCU Open Access Repository (Birmingham City University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12870472","host_organization_name":"Birmingham City University","host_organization_lineage":["https://openalex.org/I12870472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:arXiv.org:2102.00912","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.00912","pdf_url":"https://arxiv.org/pdf/2102.00912","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3128129377","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2102.00912","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/1261d496-a497-4036-a459-431c049ed5e8","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/1261d496-a497-4036-a459-431c049ed5e8","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Palicki, S-K, Fouad, S, Adedoyin-Olowe, M & Abdallah, Z S 2021 'Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets' arXiv.org. https://doi.org/10.48550/arXiv.2102.00912","raw_type":"workingPaper"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/9ff4ef47-9c0f-4fcf-b6cb-ed7064fa95ae","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/9ff4ef47-9c0f-4fcf-b6cb-ed7064fa95ae","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Palicki, S K, Fouad, S, Adedoyin-Olowe, M & Abdallah, Z S 2021, Transfer learning approach for detecting psychological distress in brexit tweets. in Proceedings of the 36th Annual ACM Symposium on Applied Computing, SAC 2021. Association for Computing Machinery, pp. 967-975. https://doi.org/10.1145/3412841.3441972","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/1261d496-a497-4036-a459-431c049ed5e8","is_oa":true,"landing_page_url":"https://hdl.handle.net/1983/1261d496-a497-4036-a459-431c049ed5e8","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Palicki, S-K, Fouad, S, Adedoyin-Olowe, M & Abdallah, Z S 2021 'Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets' arXiv.org. https://doi.org/10.48550/arXiv.2102.00912","raw_type":"workingPaper"},{"id":"doi:10.48550/arxiv.2102.00912","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.00912","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.00912","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.00912","pdf_url":"https://arxiv.org/pdf/2102.00912","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W1590495275","https://openalex.org/W1689503712","https://openalex.org/W1993103056","https://openalex.org/W2029181554","https://openalex.org/W2034368206","https://openalex.org/W2068164766","https://openalex.org/W2104094955","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2250553926","https://openalex.org/W2252031683","https://openalex.org/W2252191003","https://openalex.org/W2395579298","https://openalex.org/W2584644573","https://openalex.org/W2611802400","https://openalex.org/W2729451077","https://openalex.org/W2741216199","https://openalex.org/W2742148605","https://openalex.org/W2773031449","https://openalex.org/W2774111611","https://openalex.org/W2795211968","https://openalex.org/W2798717312","https://openalex.org/W2805102746","https://openalex.org/W2900809224","https://openalex.org/W2920996767","https://openalex.org/W2945662754","https://openalex.org/W2949135528","https://openalex.org/W2955109214","https://openalex.org/W2970868452","https://openalex.org/W3015928967","https://openalex.org/W3201098559"],"related_works":["https://openalex.org/W3159046337","https://openalex.org/W3206653973","https://openalex.org/W2577307791","https://openalex.org/W2293267779","https://openalex.org/W3206705341","https://openalex.org/W3092546132","https://openalex.org/W2910785183","https://openalex.org/W2916321050","https://openalex.org/W2612799152","https://openalex.org/W3038671591","https://openalex.org/W3081098190","https://openalex.org/W3176394200","https://openalex.org/W1970464092","https://openalex.org/W3195144176","https://openalex.org/W2137250199","https://openalex.org/W3112367250","https://openalex.org/W3109394827","https://openalex.org/W3103170594","https://openalex.org/W3147494527","https://openalex.org/W3092034073"],"abstract_inverted_index":{"In":[0],"2016,":[1],"United":[2],"Kingdom":[3],"(UK)":[4],"citizens":[5],"voted":[6],"to":[7,45,85,111,134,151,175,201],"leave":[8],"the":[9,31,36,72,86,92,113,124,136,153,203,219],"European":[10],"Union":[11],"(EU),":[12],"which":[13],"was":[14],"officially":[15],"implemented":[16],"in":[17,67,76,118,139,183,208],"2020.":[18],"During":[19],"this":[20,50,99,101],"period,":[21],"UK":[22],"residents":[23],"experienced":[24],"a":[25,81,104,147,167],"great":[26],"deal":[27],"of":[28,88,155,178,181,214],"uncertainty":[29],"around":[30],"UK's":[32],"continued":[33],"relationship":[34],"with":[35,211],"EU.":[37],"Many":[38],"people":[39],"have":[40],"used":[41,174],"social":[42],"media":[43],"platforms":[44],"express":[46],"their":[47],"emotions":[48],"about":[49],"critical":[51],"event.":[52],"Sentiment":[53],"analysis":[54,110],"has":[55],"been":[56],"recently":[57],"considered":[58],"as":[59],"an":[60,188,212],"important":[61],"tool":[62],"for":[63,108],"detecting":[64,71],"mental":[65],"well-being":[66],"Twitter":[68],"contents.":[69],"However,":[70],"psychological":[73,115,129,179,205],"distress":[74,116,130,137,169,180,206],"status":[75,117,138,207],"political":[77],"related":[78],"tweets":[79,131,141,210],"is":[80,199],"challenging":[82],"task":[83],"due":[84],"lack":[87],"explicit":[89],"sentences":[90],"describing":[91],"depressive":[93],"or":[94],"anxiety":[95],"status.":[96],"To":[97],"address":[98],"problem,":[100],"paper":[102,164],"leverages":[103],"transfer":[105,157],"learning":[106],"approach":[107],"sentiment":[109],"measure":[112],"non-clinical":[114,204],"Brexit":[119,140,168,184,209],"tweets.":[120,185],"The":[121,144,163,196],"framework":[122,145],"transfers":[123],"knowledge":[125],"learnt":[126],"from":[127,193],"self-reported":[128],"(source":[132],"domain)":[133],"detect":[135,176,202],"(target":[142],"domain).":[143],"applies":[146],"domain":[148],"adaptation":[149],"technique":[150],"decrease":[152],"impact":[154],"negative":[156],"between":[158],"source":[159,220],"and":[160,216,221],"target":[161,222],"domains.":[162,195],"also":[165],"introduces":[166],"index":[170],"that":[171,190],"can":[172],"be":[173],"levels":[177],"individuals":[182],"We":[186],"design":[187],"experiment":[189],"includes":[191],"data":[192],"both":[194],"proposed":[197],"model":[198],"able":[200],"accuracy":[213],"66%":[215],"62%":[217],"on":[218],"domains,":[223],"respectively.":[224]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2022-07-25T00:00:00"}