{"id":"https://openalex.org/W2999028543","doi":"https://doi.org/10.1007/978-3-030-36617-9_2","title":"Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis","display_name":"Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2999028543","doi":"https://doi.org/10.1007/978-3-030-36617-9_2","mag":"2999028543"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-36617-9_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-36617-9_2","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"},"type":"book-chapter","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/A5100440525","display_name":"Xu Zhao","orcid":"https://orcid.org/0000-0002-8176-623X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhao Xu","raw_affiliation_strings":["NEC Laboratories Europe, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032694380","display_name":"Lorenzo von Ritter","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lorenzo von Ritter","raw_affiliation_strings":["Technical University of Munich, Garching, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061934496","display_name":"Giuseppe Serra","orcid":"https://orcid.org/0000-0002-4269-4501"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Giuseppe Serra","raw_affiliation_strings":["University of Birmingham, Birmingham, UK"],"affiliations":[{"raw_affiliation_string":"University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100440525"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8242,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73235017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"32"},"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":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/adversarial-system","display_name":"Adversarial system","score":0.8915197253227234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7023950815200806},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6676868200302124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6182421445846558},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6162614822387695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5257340669631958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1294761300086975},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08371815085411072}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8915197253227234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7023950815200806},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6676868200302124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6182421445846558},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6162614822387695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5257340669631958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1294761300086975},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08371815085411072},{"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-36617-9_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-36617-9_2","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1731081199","https://openalex.org/W1871180460","https://openalex.org/W2028423432","https://openalex.org/W2064675550","https://openalex.org/W2073768640","https://openalex.org/W2097726431","https://openalex.org/W2099471712","https://openalex.org/W2108646579","https://openalex.org/W2113609017","https://openalex.org/W2131744502","https://openalex.org/W2136848157","https://openalex.org/W2138857742","https://openalex.org/W2143104527","https://openalex.org/W2144499799","https://openalex.org/W2153579005","https://openalex.org/W2163302275","https://openalex.org/W2170973209","https://openalex.org/W2187089797","https://openalex.org/W2248051232","https://openalex.org/W2250539671","https://openalex.org/W2251939518","https://openalex.org/W2252143850","https://openalex.org/W2341914330","https://openalex.org/W2412510955","https://openalex.org/W2584641794","https://openalex.org/W2612769033","https://openalex.org/W2618250040","https://openalex.org/W2741989495","https://openalex.org/W2962997028","https://openalex.org/W4205184193","https://openalex.org/W4248217677"],"related_works":["https://openalex.org/W3022811007","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3024390022","https://openalex.org/W4224009465","https://openalex.org/W2903917280","https://openalex.org/W2980092132","https://openalex.org/W3184728771","https://openalex.org/W4205705013","https://openalex.org/W4286629047"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
