{"id":"https://openalex.org/W2137411054","doi":"https://doi.org/10.18653/v1/s15-1015","title":"Ideological Perspective Detection Using Semantic Features","display_name":"Ideological Perspective Detection Using Semantic Features","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2137411054","doi":"https://doi.org/10.18653/v1/s15-1015","mag":"2137411054"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s15-1015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-1015","pdf_url":"https://www.aclweb.org/anthology/S15-1015.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 Fourth Joint Conference on Lexical and Computational Semantics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S15-1015.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077304103","display_name":"Heba Elfardy","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heba Elfardy","raw_affiliation_strings":["Columbia University New York, NY","Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University New York, NY","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038581447","display_name":"Mona Diab","orcid":"https://orcid.org/0000-0002-7696-1436"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mona Diab","raw_affiliation_strings":["George Washington University Washington, DC","george Washington University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Washington University Washington, DC","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"george Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068508539","display_name":"Chris Callison-Burch","orcid":"https://orcid.org/0000-0001-8196-1943"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Callison-Burch","raw_affiliation_strings":["University of Pennsylvania Philadelphia, PA","#N#               * University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania Philadelphia, PA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"#N#               * University of Pennsylvania","institution_ids":["https://openalex.org/I36788626","https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9958999752998352,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/computer-science","display_name":"Computer science","score":0.67827969789505},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6666601896286011},{"id":"https://openalex.org/keywords/ideology","display_name":"Ideology","score":0.64300537109375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5660504102706909},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5192899107933044},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49878835678100586},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47047215700149536},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4570387601852417},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.4185611605644226},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3695567846298218},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.22884514927864075},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14669501781463623},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0895082950592041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67827969789505},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6666601896286011},{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.64300537109375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5660504102706909},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5192899107933044},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49878835678100586},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47047215700149536},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4570387601852417},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.4185611605644226},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3695567846298218},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.22884514927864075},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14669501781463623},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0895082950592041},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s15-1015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-1015","pdf_url":"https://www.aclweb.org/anthology/S15-1015.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 Fourth Joint Conference on Lexical and Computational Semantics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s15-1015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-1015","pdf_url":"https://www.aclweb.org/anthology/S15-1015.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 Fourth Joint Conference on Lexical and Computational Semantics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W99140786","https://openalex.org/W226959768","https://openalex.org/W1561908597","https://openalex.org/W1654370055","https://openalex.org/W1880262756","https://openalex.org/W2001442493","https://openalex.org/W2081580037","https://openalex.org/W2102498033","https://openalex.org/W2117288110","https://openalex.org/W2133990480","https://openalex.org/W2135875128","https://openalex.org/W2137692340","https://openalex.org/W2142213820","https://openalex.org/W2149537132","https://openalex.org/W2164641162","https://openalex.org/W2167053715","https://openalex.org/W2251025408","https://openalex.org/W2251949149","https://openalex.org/W2613678836","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2325435433","https://openalex.org/W2188275805","https://openalex.org/W2498383244","https://openalex.org/W2259621217","https://openalex.org/W2904069821","https://openalex.org/W2613956519","https://openalex.org/W2771050216","https://openalex.org/W3087778885","https://openalex.org/W1573688770","https://openalex.org/W2912005598"],"abstract_inverted_index":{"In":[0,85],"this":[1,88],"paper,":[2],"we":[3,33,92],"propose":[4],"the":[5,48,57,61,64,72,77,134,140,147,150,154],"use":[6,68],"of":[7,40,76,103,153],"word":[8,124],"sense":[9,125],"disambiguation":[10,126],"and":[11,42,67,117,127,136,142,149],"latent":[12],"semantic":[13],"features":[14,59],"to":[15,36,63,70,74,87],"automatically":[16],"identify":[17],"a":[18,38,99,164],"person's":[19],"perspective":[20],"from":[21,47,60,110],"his/her":[22],"written":[23],"text.":[24],"We":[25,54],"run":[26],"an":[27],"Amazon":[28],"Mechanical":[29],"Turk":[30],"experiment":[31],"where":[32],"ask":[34],"Turkers":[35],"answer":[37,73],"set":[39],"constrained":[41,78],"open-ended":[43,65],"political":[44],"questions":[45,66],"drawn":[46],"American":[49],"National":[50],"Election":[51],"Studies":[52],"(ANES).":[53],"then":[55],"extract":[56],"proposed":[58,96],"answers":[62],"them":[69],"predict":[71],"one":[75],"questions,":[79],"namely,":[80],"their":[81],"preferred":[82],"Presidential":[83],"Candidate.":[84],"addition":[86],"newly":[89],"created":[90],"dataset,":[91],"also":[93],"evaluate":[94],"our":[95],"approach":[97],"on":[98,139],"second":[100],"standard":[101],"dataset":[102,107],"\"Ideological-Debates\".":[104],"This":[105],"latter":[106],"contains":[108],"topics":[109],"four":[111,151],"domains:":[112],"Abortion,":[113],"Creationism,":[114],"Gun":[115],"Rights":[116],"Gay-Rights.":[118],"Experimental":[119],"results":[120],"show":[121],"that":[122],"using":[123],"latentsemantics,":[128],"whether":[129],"separately":[130],"or":[131],"combined,":[132],"beats":[133],"majority":[135],"random":[137],"baselines":[138],"cross-validation":[141],"held-out-test":[143],"sets":[144,162],"for":[145],"both":[146,160],"ANES":[148],"domains":[152],"\"Ideological":[155],"Debates\"":[156],"datasets.":[157],"Moreover":[158],"combining":[159],"feature":[161],"outperforms":[163],"stronger":[165],"unigram-only":[166],"classification":[167],"system.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
