{"id":"https://openalex.org/W2891746463","doi":"https://doi.org/10.18653/v1/w18-6241","title":"Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions","display_name":"Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891746463","doi":"https://doi.org/10.18653/v1/w18-6241","mag":"2891746463"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-6241","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6241","pdf_url":"https://www.aclweb.org/anthology/W18-6241.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-6241.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042583293","display_name":"Gavin Abercrombie","orcid":"https://orcid.org/0000-0002-6546-3562"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Gavin Abercrombie","raw_affiliation_strings":["School of Computer Science University of Manchester Kilburn Building, Manchester M13 9PL"],"affiliations":[{"raw_affiliation_string":"School of Computer Science University of Manchester Kilburn Building, Manchester M13 9PL","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050960711","display_name":"Riza Batista-Navarro","orcid":"https://orcid.org/0000-0001-6693-7531"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Riza Theresa Batista-Navarro","raw_affiliation_strings":["School of Computer Science University of Manchester Kilburn Building, Manchester M13 9PL"],"affiliations":[{"raw_affiliation_string":"School of Computer Science University of Manchester Kilburn Building, Manchester M13 9PL","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042583293"],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":null,"apc_paid":null,"fwci":1.3538,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86061354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"280","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9955000281333923,"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":0.9950000047683716,"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/polarity","display_name":"Polarity (international relations)","score":0.7382375001907349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676047444343567},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5962145924568176},{"id":"https://openalex.org/keywords/rest","display_name":"Rest (music)","score":0.5018353462219238},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4503747224807739},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.44768667221069336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38882333040237427},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35323190689086914},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.25990307331085205},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.1310926079750061},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.08171138167381287}],"concepts":[{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.7382375001907349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676047444343567},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5962145924568176},{"id":"https://openalex.org/C77265313","wikidata":"https://www.wikidata.org/wiki/Q879844","display_name":"Rest (music)","level":2,"score":0.5018353462219238},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4503747224807739},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.44768667221069336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38882333040237427},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35323190689086914},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.25990307331085205},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.1310926079750061},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.08171138167381287},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/w18-6241","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6241","pdf_url":"https://www.aclweb.org/anthology/W18-6241.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/8f3f7971-d833-4a07-a021-7da49a61a914","is_oa":true,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/identifying-opiniontopics-and-polarity-of-parliamentary-debate-motions(8f3f7971-d833-4a07-a021-7da49a61a914).html","pdf_url":"https://pure.manchester.ac.uk/ws/files/78720027/W18_6241.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Abercrombie, G & Batista-Navarro, R T 2018, Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions. in Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Association for Computational Linguistics. < http://www.aclweb.org/anthology/W18-6241 >","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/8f3f7971-d833-4a07-a021-7da49a61a914","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/8f3f7971-d833-4a07-a021-7da49a61a914","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Abercrombie, G & Batista-Navarro, R T 2018, Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions. in Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Association for Computational Linguistics. < http://www.aclweb.org/anthology/W18-6241 >","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-6241","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-6241","pdf_url":"https://www.aclweb.org/anthology/W18-6241.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891746463.pdf","grobid_xml":"https://content.openalex.org/works/W2891746463.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W877364419","https://openalex.org/W1525045875","https://openalex.org/W1967807490","https://openalex.org/W2082321078","https://openalex.org/W2127804677","https://openalex.org/W2162521772","https://openalex.org/W2164777277","https://openalex.org/W2251238666","https://openalex.org/W2361710634","https://openalex.org/W2575669350","https://openalex.org/W2579219990","https://openalex.org/W2741695005","https://openalex.org/W2788605280","https://openalex.org/W2950879740"],"related_works":["https://openalex.org/W4388147713","https://openalex.org/W4205145096","https://openalex.org/W2977909229","https://openalex.org/W2359059303","https://openalex.org/W3194775706","https://openalex.org/W3110334367","https://openalex.org/W3126656380","https://openalex.org/W2548633793","https://openalex.org/W1984947604","https://openalex.org/W989058012"],"abstract_inverted_index":{"Analysis":[0],"of":[1,24,27,35,46,92,127,134,161],"the":[2,25,28,44,73,82,87,99,107,113,124,128,139,162],"topics":[3],"mentioned":[4],"and":[5,21,42,52,76,151],"opinions":[6],"expressed":[7],"in":[8,71,122,148],"parliamentary":[9],"debate":[10,36,83],"motionsor":[11],"proposals-is":[12],"difficult":[13],"for":[14,19,49,146],"human":[15],"readers,":[16],"but":[17],"necessary":[18],"understanding":[20],"automatic":[22],"processing":[23],"content":[26],"subsequent":[29],"speeches.":[30],"We":[31,95],"present":[32],"a":[33],"dataset":[34],"motions":[37,88,163],"with":[38,86],"pre-existing":[39],"'policy'":[40],"labels,":[41],"investigate":[43],"utility":[45],"these":[47,149],"labels":[48,145],"simultaneous":[50],"topic":[51,57,63,154],"opinion":[53,125,159],"polarity":[54],"analysis.":[55],"For":[56],"detection,":[58],"we":[59,136],"apply":[60],"one-versus-therest":[61],"supervised":[62],"classification,":[64],"finding":[65],"that":[66,77,138,152],"good":[67],"performance":[68],"is":[69],"achieved":[70],"predicting":[72],"policy":[74],"topics,":[75],"textual":[78],"features":[79],"derived":[80],"from":[81],"titles":[84],"associated":[85],"are":[89],"particularly":[90],"indicative":[91],"motion":[93],"topic.":[94],"then":[96],"examine":[97],"whether":[98],"output":[100],"could":[101],"also":[102],"be":[103,143],"used":[104,141],"to":[105],"determine":[106],"positions":[108],"taken":[109],"by":[110,116],"proposers":[111],"towards":[112],"different":[114],"policies":[115,140],"investigating":[117],"how":[118],"well":[119],"humans":[120],"agree":[121],"interpreting":[123],"polarities":[126],"motions.":[129],"Finding":[130],"very":[131],"high":[132],"levels":[133],"agreement,":[135],"conclude":[137],"can":[142,156],"reliable":[144],"use":[147],"tasks,":[150],"successful":[153],"detection":[155],"therefore":[157],"provide":[158],"analysis":[160],"'for":[164],"free'.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}