{"id":"https://openalex.org/W3096259383","doi":"https://doi.org/10.1007/978-3-030-60290-1_21","title":"Utilizing BERT Pretrained Models with Various Fine-Tune Methods for Subjectivity Detection","display_name":"Utilizing BERT Pretrained Models with Various Fine-Tune Methods for Subjectivity Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3096259383","doi":"https://doi.org/10.1007/978-3-030-60290-1_21","mag":"3096259383"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-60290-1_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-60290-1_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5112577594","display_name":"Hairong Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hairong Huo","raw_affiliation_strings":["Graduate School of Information, Production, and Systems, Waseda University, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production, and Systems, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047052126","display_name":"Mizuho Iwaihara","orcid":"https://orcid.org/0000-0001-6985-9671"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mizuho Iwaihara","raw_affiliation_strings":["Graduate School of Information, Production, and Systems, Waseda University, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production, and Systems, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112577594"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.0226,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93343791,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"270","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.8683885335922241},{"id":"https://openalex.org/keywords/subjectivity","display_name":"Subjectivity","score":0.8606711030006409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6650798320770264},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6299006938934326},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5940980315208435},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5683352947235107},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5376767516136169},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42179834842681885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41272708773612976},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33146098256111145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8683885335922241},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.8606711030006409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6650798320770264},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6299006938934326},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5940980315208435},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5683352947235107},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5376767516136169},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42179834842681885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41272708773612976},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33146098256111145},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-60290-1_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-60290-1_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1554171126","https://openalex.org/W1840435438","https://openalex.org/W1997860116","https://openalex.org/W2082066599","https://openalex.org/W2113459411","https://openalex.org/W2114524997","https://openalex.org/W2128877075","https://openalex.org/W2145451908","https://openalex.org/W2571253853","https://openalex.org/W2624871570","https://openalex.org/W2739351760","https://openalex.org/W2795247881","https://openalex.org/W2798279345","https://openalex.org/W2896457183","https://openalex.org/W2901215301","https://openalex.org/W2913340405","https://openalex.org/W2945824677","https://openalex.org/W2950910987","https://openalex.org/W2963026768","https://openalex.org/W2963748441","https://openalex.org/W2963854351","https://openalex.org/W2964054038","https://openalex.org/W2964121744","https://openalex.org/W2964236337","https://openalex.org/W2970597249","https://openalex.org/W2986280923","https://openalex.org/W3102444842","https://openalex.org/W3104033643","https://openalex.org/W3209042722","https://openalex.org/W6600195515","https://openalex.org/W6600595061","https://openalex.org/W6601141708","https://openalex.org/W6601223237","https://openalex.org/W6601235158","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2392615731","https://openalex.org/W2380604072","https://openalex.org/W2376320687","https://openalex.org/W4256356876","https://openalex.org/W2394235543","https://openalex.org/W2373226572","https://openalex.org/W4383890670","https://openalex.org/W2343691239","https://openalex.org/W2912039559","https://openalex.org/W1880436784"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
