{"id":"https://openalex.org/W4288421305","doi":"https://doi.org/10.1145/3535508.3545594","title":"An Italian lexicon-based sentiment analysis approach for medical applications","display_name":"An Italian lexicon-based sentiment analysis approach for medical applications","publication_year":2022,"publication_date":"2022-07-28","ids":{"openalex":"https://openalex.org/W4288421305","doi":"https://doi.org/10.1145/3535508.3545594"},"language":"en","primary_location":{"id":"doi:10.1145/3535508.3545594","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535508.3545594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"type":"article","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/A5036582954","display_name":"Maria Chiara Martinis","orcid":"https://orcid.org/0000-0002-4868-7767"},"institutions":[{"id":"https://openalex.org/I36443711","display_name":"Magna Graecia University","ror":"https://ror.org/0530bdk91","country_code":"IT","type":"education","lineage":["https://openalex.org/I36443711"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maria Chiara Martinis","raw_affiliation_strings":["University \"Magna Gr\u00e6cia\" of Catanzaro, Catanzaro, Italy"],"affiliations":[{"raw_affiliation_string":"University \"Magna Gr\u00e6cia\" of Catanzaro, Catanzaro, Italy","institution_ids":["https://openalex.org/I36443711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046581302","display_name":"Chiara Zucco","orcid":"https://orcid.org/0000-0003-0048-0457"},"institutions":[{"id":"https://openalex.org/I36443711","display_name":"Magna Graecia University","ror":"https://ror.org/0530bdk91","country_code":"IT","type":"education","lineage":["https://openalex.org/I36443711"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Zucco","raw_affiliation_strings":["University \"Magna Gr\u00e6cia\" of Catanzaro, Catanzaro, Italy"],"affiliations":[{"raw_affiliation_string":"University \"Magna Gr\u00e6cia\" of Catanzaro, Catanzaro, Italy","institution_ids":["https://openalex.org/I36443711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004845138","display_name":"Mario Cannataro","orcid":"https://orcid.org/0000-0003-1502-2387"},"institutions":[{"id":"https://openalex.org/I36443711","display_name":"Magna Graecia University","ror":"https://ror.org/0530bdk91","country_code":"IT","type":"education","lineage":["https://openalex.org/I36443711"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Cannataro","raw_affiliation_strings":["University \"Magna Gr\u00e6cia\" of Catanzaro, Catanzaro, Italy"],"affiliations":[{"raw_affiliation_string":"University \"Magna Gr\u00e6cia\" of Catanzaro, Catanzaro, Italy","institution_ids":["https://openalex.org/I36443711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036582954"],"corresponding_institution_ids":["https://openalex.org/I36443711"],"apc_list":null,"apc_paid":null,"fwci":1.7241,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86677399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.989300012588501,"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/lexicon","display_name":"Lexicon","score":0.8610596060752869},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7562782764434814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7501406073570251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7043924927711487},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6877377033233643},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.5291705131530762},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.4201083779335022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.15603721141815186}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8610596060752869},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7562782764434814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501406073570251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7043924927711487},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6877377033233643},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.5291705131530762},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.4201083779335022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.15603721141815186},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3535508.3545594","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535508.3545594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2099813784","https://openalex.org/W2911489562","https://openalex.org/W2963341956","https://openalex.org/W2970660110","https://openalex.org/W3046375318","https://openalex.org/W3108090541","https://openalex.org/W3156333129","https://openalex.org/W4210254834","https://openalex.org/W4220967417"],"related_works":["https://openalex.org/W3011677438","https://openalex.org/W116547091","https://openalex.org/W2965885965","https://openalex.org/W2372057287","https://openalex.org/W2519006514","https://openalex.org/W114213598","https://openalex.org/W2130424481","https://openalex.org/W2578708159","https://openalex.org/W2084046180","https://openalex.org/W2515922379"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,19],"aims":[2],"at":[3],"extracting":[4],"opinions":[5],"and":[6,67,143],"or":[7,75,119],"emotions":[8],"mainly":[9],"from":[10,133],"written":[11,93],"text.":[12],"The":[13,121],"most":[14],"popular":[15,52,105],"problem":[16],"in":[17,64,92],"sentiment":[18],"certainly":[20],"is":[21,96],"polarity":[22,90,114],"detection,":[23],"which":[24],"falls":[25],"into":[26],"the":[27,72,100,104],"broader":[28],"class":[29,115],"of":[30,36,103,128],"Natural":[31],"Language":[32],"Processing":[33],"(NLP)":[34],"problems":[35],"text":[37,44],"classification.":[38],"To":[39],"date,":[40],"state-of-the-art":[41],"approaches":[42,59],"to":[43,62,99],"classification":[45],"use":[46],"neural":[47],"language":[48,74,102],"models":[49],"built":[50],"on":[51,125],"architectures":[53],"such":[54],"as":[55,69],"Transformers.":[56],"However,":[57],"these":[58],"are":[60],"difficult":[61],"apply":[63],"low-resource":[65],"languages":[66],"domains,":[68],"for":[70,89],"instance":[71],"Italian":[73,101],"small":[76],"clinical":[77],"trials.":[78],"Motivated":[79],"by":[80],"this,":[81],"this":[82],"paper":[83],"presents":[84],"VADER-IT,":[85],"a":[86,113,126,137,144],"lexicon-based":[87],"algorithm":[88],"prediction":[91],"text,":[94],"that":[95],"an":[97],"adaptation":[98],"VADER.":[106],"Unlike":[107],"VADER,":[108],"our":[109],"system":[110,122],"also":[111],"predicts":[112],"(i.e.":[116],"positive,":[117],"negative":[118],"neutral).":[120],"was":[123],"tested":[124],"dataset":[127],"5495":[129],"healthcare":[130],"related":[131],"reviews":[132],"QSalute":[134],"https://www.qsalute.it/,":[135],"reaching":[136],"micro":[138,145],"averaged":[139,146],"F1--score":[140],"=":[141,150],"81%":[142],"Jaccard":[147],"-":[148],"score":[149],"73%.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
