{"id":"https://openalex.org/W3033829576","doi":"https://doi.org/10.1007/978-3-030-49435-3_12","title":"Aspect Term Extraction Using Deep Learning Model with Minimal Feature Engineering","display_name":"Aspect Term Extraction Using Deep Learning Model with Minimal Feature Engineering","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3033829576","doi":"https://doi.org/10.1007/978-3-030-49435-3_12","mag":"3033829576"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-49435-3_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-49435-3_12","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-49435-3_12.pdf","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":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-49435-3_12.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042979662","display_name":"Felipe Zschornack Rodrigues Saraiva","orcid":null},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe Zschornack Rodrigues Saraiva","raw_affiliation_strings":["Insight Data Science Lab, Federal University of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insight Data Science Lab, Federal University of Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060055439","display_name":"Ticiana Linhares Coelho da Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ticiana Linhares Coelho da Silva","raw_affiliation_strings":["Insight Data Science Lab, Federal University of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insight Data Science Lab, Federal University of Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065118727","display_name":"Jos\u00e9 Ant\u00f4nio Fernandes de Mac\u00eado","orcid":"https://orcid.org/0000-0002-0661-2978"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Ant\u00f4nio Fernandes de Mac\u00eado","raw_affiliation_strings":["Insight Data Science Lab, Federal University of Cear\u00e1, Fortaleza, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insight Data Science Lab, Federal University of Cear\u00e1, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.026,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93006774,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"185","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"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":0.9972000122070312,"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":0.8859655857086182},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.7414259910583496},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6597096920013428},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6484618186950684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6473768353462219},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6304260492324829},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5543215870857239},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.518251895904541},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47074609994888306},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4704165756702423},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4672159254550934},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4629858732223511},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4508771300315857},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4194849133491516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8859655857086182},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.7414259910583496},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6597096920013428},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6484618186950684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6473768353462219},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6304260492324829},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5543215870857239},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.518251895904541},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47074609994888306},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4704165756702423},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4672159254550934},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4629858732223511},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4508771300315857},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4194849133491516},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-49435-3_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-49435-3_12","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-49435-3_12.pdf","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"},{"id":"pmh:oai:pubmedcentral.nih.gov:7266433","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7266433","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advanced Information Systems Engineering","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-49435-3_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-49435-3_12","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-49435-3_12.pdf","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"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033829576.pdf","grobid_xml":"https://content.openalex.org/works/W3033829576.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W1566256432","https://openalex.org/W1904365287","https://openalex.org/W1996430422","https://openalex.org/W2094061585","https://openalex.org/W2096141509","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2251385138","https://openalex.org/W2296283641","https://openalex.org/W2345493290","https://openalex.org/W2427312199","https://openalex.org/W2469885001","https://openalex.org/W2493916176","https://openalex.org/W2560939934","https://openalex.org/W2604205681","https://openalex.org/W2753160622","https://openalex.org/W2769387903","https://openalex.org/W2788810909","https://openalex.org/W2889191148","https://openalex.org/W2895547478","https://openalex.org/W2962741379","https://openalex.org/W2962843214","https://openalex.org/W2962902328","https://openalex.org/W2962987552","https://openalex.org/W2963264961","https://openalex.org/W3049711450"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2801635251"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"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":"2026-06-11T09:08:48.828518","created_date":"2020-06-12T00:00:00"}
