{"id":"https://openalex.org/W2250782859","doi":"https://doi.org/10.3115/v1/w14-2604","title":"Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives","display_name":"Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250782859","doi":"https://doi.org/10.3115/v1/w14-2604","mag":"2250782859"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-2604","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2604","pdf_url":"https://aclanthology.org/W14-2604.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 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-2604.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049761671","display_name":"Manfred Klenner","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Manfred Klenner","raw_affiliation_strings":["University of zurich;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of zurich;","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085190970","display_name":"Michael Amsler","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Amsler","raw_affiliation_strings":["University of zurich;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of zurich;","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025749600","display_name":"Nora Hollenstein","orcid":"https://orcid.org/0000-0001-7936-4170"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Nora Hollenstein","raw_affiliation_strings":["University of zurich;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of zurich;","institution_ids":["https://openalex.org/I202697423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049761671"],"corresponding_institution_ids":["https://openalex.org/I202697423"],"apc_list":null,"apc_paid":null,"fwci":0.8456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82632918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.9076107740402222},{"id":"https://openalex.org/keywords/adjective","display_name":"Adjective","score":0.822439432144165},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.670516848564148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485013365745544},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.6336942911148071},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6015595197677612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5949155688285828},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5119460821151733},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5097493529319763},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.45015236735343933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26719504594802856},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.17374250292778015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11127102375030518},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06682512164115906}],"concepts":[{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.9076107740402222},{"id":"https://openalex.org/C2777683214","wikidata":"https://www.wikidata.org/wiki/Q34698","display_name":"Adjective","level":3,"score":0.822439432144165},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.670516848564148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485013365745544},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.6336942911148071},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6015595197677612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5949155688285828},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5119460821151733},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5097493529319763},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.45015236735343933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26719504594802856},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.17374250292778015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11127102375030518},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06682512164115906},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/v1/w14-2604","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2604","pdf_url":"https://aclanthology.org/W14-2604.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 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:www.zora.uzh.ch:99627","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Klenner, Manfred; Amsler, Michael; Hollenstein, Nora  (2014). Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives.  In: Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Baltimore, USA, 2014. Association for Computational Linguistic, 18-23.","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.4000","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.4000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology/W/W14/W14-2604.pdf","raw_type":"text"},{"id":"doi:10.5167/uzh-99627","is_oa":true,"landing_page_url":"https://doi.org/10.5167/uzh-99627","pdf_url":null,"source":{"id":"https://openalex.org/S7407051291","display_name":"Universit\u00e4t Z\u00fcrich, ZORA","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"doi:10.3115/v1/w14-2604","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2604","pdf_url":"https://aclanthology.org/W14-2604.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 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250782859.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W66373487","https://openalex.org/W193524605","https://openalex.org/W1555243480","https://openalex.org/W1991873845","https://openalex.org/W1999717034","https://openalex.org/W2084046180","https://openalex.org/W2086277751","https://openalex.org/W2141063789","https://openalex.org/W2155870214","https://openalex.org/W2159457224","https://openalex.org/W2199803028","https://openalex.org/W2337310300","https://openalex.org/W3146306708"],"related_works":["https://openalex.org/W4312381793","https://openalex.org/W2385963184","https://openalex.org/W2350058787","https://openalex.org/W3139255945","https://openalex.org/W2976849154","https://openalex.org/W3112308623","https://openalex.org/W2902614234","https://openalex.org/W2068167831","https://openalex.org/W4388156376","https://openalex.org/W2745526283"],"abstract_inverted_index":{"In":[0,105],"this":[1],"paper,":[2],"we":[3,111],"discuss":[4],"how":[5],"domain-specific":[6],"noun":[7,81],"polarity":[8,44,55,90,101],"lexicons":[9],"can":[10],"be":[11],"in-duced.":[12],"We":[13],"focus":[14],"on":[15,40,121,131],"the":[16,41,64,72,89,100,103,122,134],"generation":[17],"of":[18,43,46,57,66,92,99,102,114,124,133],"good":[19,97],"candidates":[20],"and":[21,69],"compare":[22],"two":[23,125],"ma-chine":[24],"learning":[25,127],"scenarios":[26],"in":[27],"order":[28],"to":[29,118],"estab-lish":[30],"an":[31,61],"approach":[32],"that":[33],"produces":[34],"high":[35],"pre-cision.":[36],"Candidates":[37],"are":[38],"generated":[39],"basis":[42,123],"preferences":[45,91],"adjectives":[47,94],"derived":[48],"from":[49],"a":[50,58,80,86,96],"large":[51],"domain-independent":[52],"corpus.":[53],"The":[54],"preference":[56,135],"word,":[59],"here":[60],"adjective,":[62],"reflects":[63],"distribution":[65],"positive,":[67],"negative":[68],"neutral":[70],"arguments":[71],"word":[73],"takes":[74],"(here:":[75],"its":[76],"nominal":[77],"head).":[78],"Given":[79],"modified":[82],"by":[83],"some":[84],"adjectives,":[85],"vote":[87],"among":[88],"these":[93],"establishes":[95],"indica-tor":[98],"noun.":[104],"our":[106],"ex-periments":[107],"with":[108],"five":[109],"domains,":[110],"achieved":[112],"f-measure":[113],"59":[115],"%":[116,120],"up":[117],"88":[119],"machine":[126],"approaches":[128],"car-ried":[129],"out":[130],"top":[132],"votes.":[136],"1":[137]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}