{"id":"https://openalex.org/W4285334214","doi":"https://doi.org/10.1109/la-cci48322.2021.9769840","title":"Using Deep Learning Predictors and Latent Dirichlet Allocation to Identify Key Issues Affecting Clients in Chilean Restaurants","display_name":"Using Deep Learning Predictors and Latent Dirichlet Allocation to Identify Key Issues Affecting Clients in Chilean Restaurants","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W4285334214","doi":"https://doi.org/10.1109/la-cci48322.2021.9769840"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci48322.2021.9769840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci48322.2021.9769840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5103067656","display_name":"Alejandro Ferreira","orcid":"https://orcid.org/0009-0002-2734-1158"},"institutions":[{"id":"https://openalex.org/I11944219","display_name":"Universidad de La Frontera","ror":"https://ror.org/04v0snf24","country_code":"CL","type":"education","lineage":["https://openalex.org/I11944219"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Alejandro Ferreira","raw_affiliation_strings":["Universidad de La Frontera,Departamento de Ingeniería Matemática,Temuco,Chile"],"affiliations":[{"raw_affiliation_string":"Universidad de La Frontera,Departamento de Ingeniería Matemática,Temuco,Chile","institution_ids":["https://openalex.org/I11944219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101442153","display_name":"Walter G\u00f3mez","orcid":"https://orcid.org/0000-0003-4366-5451"},"institutions":[{"id":"https://openalex.org/I11944219","display_name":"Universidad de La Frontera","ror":"https://ror.org/04v0snf24","country_code":"CL","type":"education","lineage":["https://openalex.org/I11944219"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Walter Gomez","raw_affiliation_strings":["Universidad de La Frontera,Departamento de Ingeniería Matemática,Temuco,Chile"],"affiliations":[{"raw_affiliation_string":"Universidad de La Frontera,Departamento de Ingeniería Matemática,Temuco,Chile","institution_ids":["https://openalex.org/I11944219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092319325","display_name":"Ronald Kliebs","orcid":null},"institutions":[{"id":"https://openalex.org/I11944219","display_name":"Universidad de La Frontera","ror":"https://ror.org/04v0snf24","country_code":"CL","type":"education","lineage":["https://openalex.org/I11944219"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Ronald Kliebs","raw_affiliation_strings":["Universidad de La Frontera,Industrial y de Sistemas,Departamento de Ingeniería,Temuco,Chile"],"affiliations":[{"raw_affiliation_string":"Universidad de La Frontera,Industrial y de Sistemas,Departamento de Ingeniería,Temuco,Chile","institution_ids":["https://openalex.org/I11944219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103067656"],"corresponding_institution_ids":["https://openalex.org/I11944219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23088174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"88","issue":null,"first_page":"1","last_page":"6"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9904000163078308,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9349111318588257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152249217033386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6169126033782959},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6156099438667297},{"id":"https://openalex.org/keywords/valuation","display_name":"Valuation (finance)","score":0.5727318525314331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5571274757385254},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5190333127975464},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5044857263565063},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.443136066198349},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.42612147331237793},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42594027519226074},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.41692274808883667},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4131402373313904},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32863378524780273},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12620073556900024}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9349111318588257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152249217033386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6169126033782959},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6156099438667297},{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.5727318525314331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5571274757385254},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5190333127975464},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5044857263565063},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.443136066198349},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.42612147331237793},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42594027519226074},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.41692274808883667},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4131402373313904},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32863378524780273},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12620073556900024},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci48322.2021.9769840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci48322.2021.9769840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W571200655","https://openalex.org/W1499864241","https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1880262756","https://openalex.org/W2068258779","https://openalex.org/W2112796928","https://openalex.org/W2163922914","https://openalex.org/W2407776548","https://openalex.org/W2579737817","https://openalex.org/W2771016175","https://openalex.org/W2801831183","https://openalex.org/W2894899276","https://openalex.org/W2894992451","https://openalex.org/W2896556344","https://openalex.org/W2918408501","https://openalex.org/W2921398763","https://openalex.org/W2953975365","https://openalex.org/W2970763034","https://openalex.org/W2975230423","https://openalex.org/W2996792251","https://openalex.org/W2997531252","https://openalex.org/W3023022844","https://openalex.org/W3069727413","https://openalex.org/W4211186029","https://openalex.org/W6629930100","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6639619044","https://openalex.org/W6713582272"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,62,75],"use":[4,37,76],"a":[5,18,64],"general":[6],"sentiment":[7],"analysis":[8],"methodology":[9],"to":[10,81,91],"train":[11],"different":[12,47],"Deep":[13],"Learning":[14],"predictors":[15,61],"so":[16],"that":[17],"proper":[19],"quantitative":[20],"valuation":[21],"can":[22],"be":[23],"obtained":[24],"based":[25],"on":[26,32,87],"qualitative":[27],"information":[28],"given":[29],"by":[30],"customers":[31],"social":[33],"media":[34],"(comments).":[35],"We":[36],"Convolutional":[38],"Neural":[39],"Network":[40],"and":[41,55],"Long":[42],"Short-Term":[43],"Memory":[44],"combined":[45],"with":[46],"inputs":[48],"including":[49],"the":[50,53,59,83,88],"body":[51],"of":[52,67],"comments":[54,68,89],"its":[56],"title.":[57],"With":[58],"trained":[60],"classify":[63],"large":[65],"set":[66],"regarding":[69],"negative":[70,92],"positive":[71],"customer":[72,93],"experiences.":[73],"Finally":[74],"Latent":[77],"Dirichlet":[78],"Allocation":[79],"algorithm":[80],"identify":[82],"specific":[84],"issues":[85],"appearing":[86],"related":[90],"experience":[94],"ratings.":[95]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}