{"id":"https://openalex.org/W3097373293","doi":"https://doi.org/10.1007/978-3-030-61377-8_42","title":"Semi-Supervised Sentiment Analysis of Portuguese Tweets with Random Walk in Feature Sample Networks","display_name":"Semi-Supervised Sentiment Analysis of Portuguese Tweets with Random Walk in Feature Sample Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3097373293","doi":"https://doi.org/10.1007/978-3-030-61377-8_42","mag":"3097373293"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-61377-8_42","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_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"book-chapter","type_crossref":"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/A5061349308","display_name":"Pedro Gengo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155167","display_name":"Ita\u00fasa (Brazil)","ror":"https://ror.org/05bs2v013","country_code":"BR","type":"company","lineage":["https://openalex.org/I4210155167"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Gengo","raw_affiliation_strings":["Data Science Team, Ita\u00fa Unibanco, S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Data Science Team, Ita\u00fa Unibanco, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I4210155167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015620643","display_name":"Filipe Alves Neto Verri","orcid":"https://orcid.org/0000-0002-8240-5129"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"funder","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Filipe A. N. Verri","raw_affiliation_strings":["Computer Science Division, Aeronautics Institute of Technology (ITA), S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, Aeronautics Institute of Technology (ITA), S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":["https://openalex.org/I107428990"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.224,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":69},"biblio":{"volume":null,"issue":null,"first_page":"595","last_page":"605"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9999,"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":0.9999,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.998,"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":0.9942,"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/interpretability","display_name":"Interpretability","score":0.739123},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.69890654},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment Analysis","score":0.57063556},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4962874},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised Learning","score":0.490871},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4706121},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44920576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79699636},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.739123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7054552},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.69890654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.58818567},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.57063556},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.52858263},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4962874},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.490871},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4706121},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45132744},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44920576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3539148},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19904026},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-61377-8_42","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_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.72,"display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":14,"referenced_works":["https://openalex.org/W1743243001","https://openalex.org/W1990334093","https://openalex.org/W2084046180","https://openalex.org/W2104520867","https://openalex.org/W2122522916","https://openalex.org/W2252215182","https://openalex.org/W2584760528","https://openalex.org/W2612769033","https://openalex.org/W2780851414","https://openalex.org/W2963120507","https://openalex.org/W3025272698","https://openalex.org/W40549020","https://openalex.org/W4210997624","https://openalex.org/W4233906183"],"related_works":["https://openalex.org/W4312414840","https://openalex.org/W4300902524","https://openalex.org/W4206276646","https://openalex.org/W34092691","https://openalex.org/W3004135598","https://openalex.org/W2943467239","https://openalex.org/W2794908468","https://openalex.org/W192740413","https://openalex.org/W1571801203","https://openalex.org/W101422005"],"abstract_inverted_index":null,"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3097373293","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-04-15T18:55:23.869139","created_date":"2020-11-09"}